Jiaxuan you. Thesis advisor Ermon, Stefano, degree committee member.

Jiaxuan you He obtained his CS PhD from Stan Authors: Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. In alphabetical order. However, the success of static graphs has not fully translated to dynamic graphs due to the limitations in model design, evaluation We conduct the first systematic study of the GNN design space which consists of 315K designs, over a variety of 32 tasks. Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, Will Hamilton, Jure Leskovec. Semantic Scholar's Logo. Hamilton, Jure Leskovec Authors Info & Claims NIPS'18: Proceedings of the 32nd International Conference on Neural Information Processing Systems Jiaxuan You is on Facebook. Contact Jiaxuan, search articles and posts on X, monitor coverage, and track replies from one place. In Proceedings of the 2019 World Wide Web Conf. Intern openings : I am also looking for self-motivated remote intern students starting at any time. Authors. You switched accounts on another tab or window. edu Stanford University California, USA ABSTRACT Graph Neural Networks (GNNs) have been successfully applied to manyreal-worldstaticgraphs. Assistant Professor, Siebel School of Computing and Data Science; Email jiaxuan illinois edu; Overview; Fingerprint; Network; Research & Scholarship (23) Similar Profiles (1) Fingerprint . Jiaxuan You University of Illinois, Urbana Champaign: Ge Liu University of Illinois, Urbana Champaign: Yunzhu Li University of Illinois, Urbana Champaign: Song Han Massachusetts Institute of Technology: Dawn Song University of California, Berkeley: Workflow Chair. Hamilton J. Graph neural network (GNN) is a powerful model for learning from graph data. Articles People Learning Jobs Games Join now Sign in Jiaxuan You. International Conference on Machine Learning. edu TU Dortmund University Xiang Ren xiangren@usc. Suggest URL; Education & Career History. Chat with other students in Jiaxuan You's classes. This report provides a thorough account of the opportunities and risks of foundation Nous voudrions effectuer une description ici mais le site que vous consultez ne nous en laisse pas la possibilité. Bytedance Inc. Retrieval-augmented generation (RAG) has reasoning and vision sections Aug 16, 2021 # ai # reasoning # vision Rishi Bommasani, Drew A. k. Thesis advisor Stanford University. I am a Researcher in the ULab at UIUC, advised by Prof. GNNs combine node feature information with the graph structure by recursively passing neural messages along edges of the input graph. AI frexying, dtsbourg, jiaxuan, marinka, jureg@cs. While existing studies have reviewed specific Identifying frequent subgraphs or network motifs has been crucial in analyzing and predicting properties of real-world networks. edu Stanford University Jure Leskovec jure@cs. The experiments show that GraphRNN significantly outperforms all baselines, learning to generate diverse graphs that match the structural characteristics of a target set, while also scaling to graphs 50 times larger This repository is a Tensorflow implementation of HierTCN for Dynamic Recommender Systems. Even worse, we have shown in our paper that the Jiaxuan Li, Taeho Kim, Nadia Lapusta, and 2 more authors. Follow. jiaxuan@illinois. Zhitao Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec. Generating novel graph structures that optimize given objectives while obeying some given underlying rules is fundamental for chemistry, biology and social science research. Get our free extension to see links to code for papers anywhere online! Free add-on: code for papers everywhere! Free add-on: See code for papers anywhere! Add to . 1 Jiaxuan You. Common characteristics: Massive: Millions of nodes and edges Incomplete: Many true edges are missing Given a massive KG, enumerating all the possible facts is intractable! Can we predict plausible BUT missing links? Takes the exported and downloaded data, and splits the data by year. edu] The dream of Artificial General Intelligence (AGI) has been the north star of AI research since its inception. Prior to UIUC, I received my Bachelor of Engineering degree in Computer Science and Technology (major) and Bachelor of Economics degree in Economics and This repository is the official PyTorch implementation of "Handling Missing Data with Graph Representation Learning". Nature. Homepage. Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec, Hierarchical Temporal Jiaxuan You's 28 research works with 1,207 citations and 18,640 reads, including: Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning TLDR: We study the architecture of neural networks through the lens of network science, and discover that good neural networks are alike in terms of their underlying graph structure. AI. ACL Tao Feng 1 Equal contribution. We show that best GNN designs in different tasks vary significantly, while our approach can greatly help Jiaxuan You Assistant Professor, UIUC CS Verified email at cs. The Boolean Satisfiability (SAT) problem is the canonical NP-complete problem and is fundamental to computer science, with a wide array of applications in planning, verification, and theorem proving. edu Abstract ‪Incoming Assistant Professor, UIUC CS‬ - ‪‪Cited by 11,353‬‬ - ‪Foundation Models‬ - ‪GNN‬ - ‪Large Language Models‬ This repository is the official PyTorch implementation of Graph Structure of Neural Networks, by Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie, ICML 2020. edu Tao Feng PhD of UIUC Verified email at illinois. Contents/Summary . Navigation Menu Toggle navigation. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence Authors: Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec. Yong Li Professor, Electronic Engineering, Tsinghua University Verified email at tsinghua. Recently, graph neural networks (GNNs) have revolutionized the field of graph representation learning through effectively learned node embeddings, and achieved state-of-the-art results in tasks such as node classification and link prediction. Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. stanford. PhD student. Sign In Create Free Account. See more researchers and engineers like Jiaxuan You. edu 1Department of Computer Science, 2Department of Chemistry, 3Department of Bioengineering Stanford University Stanford, CA, 94305 Abstract Generating novel graph structures that U Lab @uiuc. edu Bowen Liu2 liubowen@stanford. While large language models like GPT-4 and LLama-2 signal promising advances, the road to true AGI remains complex, mixed with Jiaxuan You · Rex Ying · Hanjun Dai · Ge Liu · Azalia Mirhoseini · Smita Krishnaswamy · Chaoran Cheng Hall C2 (level 1 gate 9 south of food court) Fri 15 Dec, 7 a. Computer Science Department. The list of accepted papers (oral and poster presentations) can be found here. Notifications You must be signed in to change notification settings; Subgraph matching is the problem of determining the presence and location(s) of a given query graph in a large target graph. Tao Feng. edu Abstract Message passing Graph Neural Networks (GNNs) provide a powerful modeling framework for relational data. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 122–130, Miami, Florida, USA. . View a PDF of the paper titled Graph Structure of Neural Networks, by Jiaxuan You and 3 other authors. AGI, distinguished by its ability to execute diverse real-world tasks with efficiency and effectiveness comparable to human intelligence, reflects a paramount milestone in AI evolution. Jiaxuan You is an assistant professor at UIUC CS and a researcher in graph neural networks, foundation models, and large language models. Siebel School of Computing and Data Science adds sixteen new faculty members . In submission to ACL 2025. edu Department of Earth System Science, Stanford University dlobell@stanford. jiaxuan Jiaxuan You and Xiaocheng Li and Melvin Low and David Lobell and Stefano Ermon Department of Computer Science, Stanford University fjiaxuan, mwlow, ermong@cs. View PDF HTML (experimental) Abstract: Much of the world's most AI is undergoing a paradigm shift with the rise of models (e. Ge Liu PhD in CSAIL, MIT; Assistant Professor @ CS, UIUC; Postdoc at IPD, UW Verified email at mit. However, current research focuses on proposing and evaluating specific architectural designs Author: You, Jiaxuan, (Machine learning researcher) Degree supervisor: Leskovec, Jurij: Thesis advisor: Leskovec, Jurij: Thesis advisor: Ermon, Stefano: Thesis advisor Jiaxuan You jiaxuan@stanford. Here we systematically About. Skip to content. edu Rex Ying1 rexying@stanford. Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. The repository is heavily built upon pycls, an image classification codebase Jiaxuan You. Thesis advisor Ma, Tengyu, degree committee member. Tao LIN Westlake University | EPFL Verified email at westlake. edu Stanford University Christopher Morris christopher. Department of Aeronautics and Astronautics, Stanford University , Jure Leskovec. , protein multimer mod- elling, PMM) can be achieved through the one-by-one assembly using provided dimer structures and predicted docking paths. Chuan Wu. Track: Special Track on Computational 8/28/24 CS598: Deep Learning with Graphs, Jiaxuan You 19 Graph is a general language, but don’t over-use it! E. com ABSTRACT Retrieval-augmented generation (RAG) has revitalized View the profiles of people named Jiaxuan You. in Computer Science at Stanford University, with an interest in ML and AI, Research Assistant in Computer Science at Tsinghua University from 2016-2017, Research Assistant in Computer Science at Stanford University 2016, Jiaxuan You Jiaxuan You . Skip to search form Skip to main content Skip to account menu. Department of Aeronautics and Astronautics, Stanford University, Daisy Yi Ding. He has published papers on topics such Jiaxuan You will join UIUC as a tenure-track Assistant Professor at UIUC CS in 2024. Department of Biomedical Data Science, Stanford University, Mykel Kochenderfer. However, current GNN methods are inherently flat and do not learn hierarchical representations of graphs---a limitation that is View a PDF of the paper titled Identity-aware Graph Neural Networks, by Jiaxuan You and 3 other authors. Write better code with AI Security. Introducing the Observatory Library for End-to-End Graph Neural Networks (GNNs) are a powerful tool for machine learning on graphs. Recent Semesters Teaching. Gomes-Selman, Rex Ying, and Jure Leskovec. edu) 2017 – 2021 Suggest Position; Advisors, Relations & Conflicts. View PDF ; TeX Source GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying yDylan Bourgeois,z Jiaxuan You Marinka Zitnik Jure Leskovecy yDepartment of Computer Science, Stanford University zRobust. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You (2024). Yuan Lin. Common characteristics: Massive: Millions of nodes and edges Incomplete: Many true edges are missing Given a massive KG, enumerating all the possible facts is intractable! Can we predict plausible BUT missing links? Guanyu Lin, Tao Feng, Pengrui Han, Ge Liu, and Jiaxuan You. Compared with long-context LLMs, RAG is considered an effective summarization tool in a more concise and Jiaxuan You and Xiaocheng Li and Melvin Low and David Lobell and Stefano Ermon Department of Computer Science, Stanford University fjiaxuan, mwlow, ermong@cs. Research briefing, Aug 2023 . I am currently applying for Ph. Contributor Leskovec, Jurij, degree supervisor. g. edu Jure Leskovec1 jure@cs. Graph Learning in Financial Networks §Goal: A graph learning framework for financial View Jiaxuan You’s profile on LinkedIn, a professional community of 1 billion members. We only did very limited hyper-parameter tuning. However, the expressive power of existing GNNs is upper-bounded by the 1-Weisfeiler-Lehman (1-WL) graph isomorphism test, which means GNNs that are not able to predict node clustering coefficients and shortest path distances, and cannot differentiate A novel inductive graph framework, named as GraphRouter, is introduced, which fully utilizes the contextual information among tasks, queries, and LLMs to enhance the LLM selection process and achieves enhanced generalization across new LLMs settings and supports diverse tasks. I am fortunate to work with Prof. The rapidly growing number and variety of Large Language Models (LLMs) 9/11/2024 CS598: Deep Learning with Graphs, Jiaxuan You 10 Re-writing update function in matrix form: Red: neighborhood aggregation Blue: self transformation In practice, this implies that efficient sparse matrix multiplication can be used ( ሚ is sparse) Note: not all GNNs can be expressed in matrix form, when aggregation function is Preprint GRAPH OF RECORDS: BOOSTING RETRIEVAL AUG- MENTED GENERATION FOR LONG-CONTEXT SUMMA- RIZATION WITH GRAPHS Haozhen Zhang1∗ Tao Feng Jiaxuan You University of Illinois at Urbana-Champaign {haozhenz, taofeng2,jiaxuan}@illinois. Here we systematically While walk-in is welcomed, you may need to wait for others who reserve the time slot to finish. Stefano Ermon. Binhang Yuan（袁彬航） Hong Kong University of Science and Technology Verified email at ust. Similar observations of the more abundant crustal earthquakes could ‪Incoming Assistant Professor, UIUC CS‬ - ‪‪Cited by 12,321‬‬ - ‪Foundation Models‬ - ‪GNN‬ - ‪Large Language Models‬ Jiaxuan You, Stanford University 2 Image credit: The Political Economy of Global Finance: A Network Model Image credit: https://dailyblockchain. Jiaxuan You: 1:45 PM - 3:00 PM, Wednesday, Siebel Center for Computer Science | Room 2122; Zirui Cheng: 12:00 PM - 1:00 PM, Tuesday Jiaxuan You As seen in: arxiv. edu Guanyu Lin Carnegie Mellon University Verified email at andrew. Early access to our open survey/review paper on How Far Are We From AGI, accompanied by Github repository. Claim your profile Get in touch with Jiaxuan. Search 220,329,808 papers from all fields of science. PhD of UIUC. a. Follow their code on GitHub. Yanghua Peng. Scenario 2: You want to apply GNN to your exciting applications. Facebook gives people the power to share and makes the world more open and connected. Recent Courses Taught. CS 598 - Endpt Threat Detect. Hi! I am Zirui Cheng (程子睿, [tsɿʐui tʂʰəŋ]). Xiaocheng Li. He has published papers on topics such as graph neural networks, knowledge graph completion, and language Jiaxuan You. To submit a bug report or feature request, you can use the official OpenReview GitHub repository: Report an issue Select a topic or type what you need help with From: Jiaxuan You Thu, 7 Jun 2018 00:47:09 UTC (1,252 KB) Sun, 18 Nov 2018 01:17:56 UTC (545 KB) [v3] Mon, 25 Feb 2019 03:19:38 UTC (866 KB) Full-text links: Access Paper: View a PDF of the paper titled Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation, by Jiaxuan You and 4 other authors. Files are saved as . from Stanford University and B. Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher. Jiaxuan You is a computer science researcher with expertise in graph neural networks, graph representation learning, and reinforcement learning. Hamilton wleif@stanford. View PDF Abstract: Message passing Graph Neural Networks (GNNs) provide a powerful modeling framework for relational data. npy files. Leskovec. Identity-aware Graph Neural Networks. com (Confirmed) Suggest Email; Personal Links. However, existing PMM methods struggle with vast search spaces and generalization challenges: (1) The assembly of a N -chain multimer can be depicted using Corpus ID: 46937309; GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models @inproceedings{You2018GraphRNNGR, title={GraphRNN: Generating Realistic Graphs with Deep Auto-regressive You switched accounts on another tab or window. Computer Science welcomes 17 new faculty Jiaxuan You | Mingjie Liu | Shrimai Prabhumoye | Mostofa Patwary | Mohammad Shoeybi | Bryan Catanzaro Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing The advancement of large language models (LLMs) has extended their use to dynamic and interactive real-world applications, where models engage continuously with their Zhenjie Sun, Naihao Deng, Haofei Yu, Jiaxuan You. edu Department of Management Science and Engineering, Stanford University chengli1@stanford. org. S. You signed out in another tab or window. edu Abstract Machine learning with missing data has been approached in You signed in with another tab or window. Jiaxuan You (Preferred) Suggest Name; Emails ****@gmail. , graphs subsumes lattices/sequences Suggested checklist Will representing my data as graphs bring more information? If your graph can be Large language models' reasoning abilities benefit from methods that organize their thought processes, such as chain-of-thought prompting, which employs a sequential structure to guide the reasoning process step-by-step. Jun He. Chrome - It's Free Jiaxuan You. However, modeling com-plex distributions over graphs and then efficiently sampling from these distributions is challenging 1 code implementation • 25 Jan 2021 • Jiaxuan You, Jonathan Gomes-Selman, Rex Ying, Jure Leskovec However, the expressive power of existing GNNs is upper-bounded by the 1-Weisfeiler-Lehman (1-WL) graph isomorphism test, which means GNNs that are not able to predict node clustering coefficients and shortest path distances, and cannot differentiate between different d AUTHORs: Rex Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec Authors Info & Claims Proceedings of the 33rd International Conference on Neural Information Processing Systems December 2019 1 code implementation • 25 Jan 2021 • Jiaxuan You, Jonathan Gomes-Selman, Rex Ying, Jure Leskovec However, the expressive power of existing GNNs is upper-bounded by the 1-Weisfeiler-Lehman (1-WL) graph isomorphism test, which means GNNs that are not able to predict node clustering coefficients and shortest path distances, and cannot differentiate between different d Pengrui Han (Barry) I am an undergraduate student studying Math and CS at Carleton College (MN), advised by Prof. JiaxuanYou has 41 repositories available. ACL 2024 . Arxiv Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance. Kochenderfer, Jure Leskovec. He has a Ph. However, existing imputation models tend to have strong prior assumptions and cannot learn Discover and Cure: Concept-aware Mitigation of Spurious Correlation (DISC) ICML 2023 Shirley Wu, Mert Yuksekgonul, Linjun Zhang, James Zou. Dismiss alert {{ message }} JiaxuanYou / graph-generation Public. 2 Robust. CS. Summary Deep learning has reshaped the research and Jiaxuan You * 1Rex Ying Xiang Ren2 William L. Department of Computer Science, Stanford University. Join Facebook to connect with Jiaxuan You and others you may know. The University of Hong Kong. Skip to main content LinkedIn. U Lab @UIUC has 6 repositories available. Eng from Tsinghua I am currently an Adjunct Assistant Professor at UIUC CS, and a Senior Research Scientist at NVIDIA. Jiaxuan You*, Xiaobai Ma*, Daisy Ding*, Mykel Kochenderfer, Jure Leskovec, Jiaxuan You. Notifications You must be signed in to change notification settings; Fork ICLR AGI Workshop The necessary code for our paper, Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data, AAAI 2017 (Best Student Paper Award in Computational Sustainability Track). GNNs combine node feature information with the graph structure by recursively Wan, Zhihao and Li, Peitao and Liu, Sujie and Jiang, Yan and Wang, Yaran and Fan, Xianwang and Pu, Jiaxuan and Zhang, Huan and You, Shijun and Huo, Tianzhuo and Liu, Zhikai, Operation Optimization and Performance Analysis of Multi-Mode Solar-Air Source Heat Pump Combined Heating System. Melvin Low. Department. View PDF Abstract: Graph Neural Networks (GNNs) have been successfully applied to many real-world static graphs. Anna Rafferty. 2021. Fall 2024. Jure Leskovec at Stanford AI Lab. Verified email at illinois. edu {maxiaoba, dingd, mykel}@stanford. Email. edu Xiaojing Ye Associate Professor, Department of Mathematics & Statistics, Georgia State University, Atlanta, GA Verified email at gsu. However, existing approaches focus primarily on organizing the sequence of thoughts, leaving structure in individual thought steps 8/28/24 CS598: Deep Learning with Graphs, Jiaxuan You 10 Publicly available KGs: FreeBase, Wikidata, Dbpedia, YAGO, NELL, etc. Names. In addition, the temperature and reflection tif files are merged, and the mask is applied so only farmland is considered. Like Reply 1 Reaction Yonas Haileyesus . Abstract. edu You signed in with another tab or window. Speaker: Jiaxuan You UIUC Time: 2023-07-17 15:15-2023-07-17 17:00 Venue: C19-2 or Tencent Meeting ID: 398-077-2882, code: 095015. Specifically, Jiaxuan's research advances the View Jiaxuan You's papers and open-source code. Jiaxuan’s research focuses on empowering deep learning with graphs, where he believes that the ability to understand and reason with relational data is central for the next generation of AI. "GNNExplainer: Generating Explanations for Graph Neural Networks" . edu Stanford University California, USA Tianyu Du tianyudu@stanford. Naihao Deng*, Zhenjie Sun*, Ruiqi He, Aman Sikka, Yulong Chen, Lin Ma, Yue Zhang, and Rada Mihalcea. GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models - graph-generation/main. However, current research focuses on proposing and evaluating specific architectural designs of GNNs, such as GCN, GIN, or GAT, as opposed to studying the more Jiaxuan You Rex Ying Xiang Ren William L. David Lobell. edu Mykel J. However, the expressive power of existing GNNs is upper-bounded by the 1-Weisfeiler-Lehman (1-WL) graph isomorphism test, Enter your feedback below and we'll get back to you as soon as possible. This is especially important in the task of molecular graph generation, whose goal is to discover If you are a prospective PhD student, I highly suggest reaching out to me early so that we can both check if there is a fit between us. How-ever, existing Graph Neural Network (GNN) ar-chitectures have limited power in capturing the position/location of a given node with respect Jiaxuan You is a fourth-year PhD student in Computer Science at Stanford University, working with Prof. Rex Ying 1 , Dylan Bourgeois 1 2 , Jiaxuan You 1 , Marinka Zitnik 1 , Jure Leskovec 1 Affiliations 1 Department of Computer Science, Stanford University. morris@udo. , graphs subsumes lattices/sequences Suggested checklist Will representing my data as graphs bring more information? If your graph can be Share your videos with friends, family, and the world Thanks Jiaxuan You. Ph. github. Computer Science, Biology. Assistant Professor. His research aims to develop data-driven methods to study our interconnected world. edu, 1wazhz14@gmail. We call these models foundation models to underscore their critically central yet incomplete character. However, incorporating both graph structure and feature information leads to complex models, and explaining predictions made by GNNs Recently, graph neural networks (GNNs) have revolutionized the field of graph representation learning through effectively learned node embeddings, and achieved state-of-the-art results in tasks such as node classification and link prediction. Yibo Zhu. Hamilton 1Jure Leskovec Abstract Modeling and generating graphs is fundamental for studying networks in biology, engineering, and social sciences. cn. Tao Feng University of Illinois, Urbana Champaign : Area Chairs. Jinwei Yao. happy can already Jiaxuan You1 jiaxuan@stanford. (WWW’19), May Assistant Professor Jiaxuan You. Fri 2 Dec, 6:40 a. The evolution of artificial intelligence (AI) has profoundly impacted human society, driving significant advancements in multiple sectors. Volume . , BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks. 24 February 2018; TLDR. View Jiaxuan You's Fall 2024 classes Machine learning with missing data has been approached in two different ways, including feature imputation where missing feature values are estimated based on observed values, and label prediction where downstream labels are learned directly from incomplete data. Search. edu Vijay Pande3 pande@stanford. However, existing Graph Neural Network (GNN) architectures have limited power in capturing Jiaxuan You, Zhitao Ying, Jure Leskovec. We are glad to win the "Best Big Jiaxuan You 1Rex Ying Jure Leskovec Abstract Learning node embeddings that capture a node’s position within the broader graph structure is cru-cial for many prediction tasks on graphs. PST [ Abstract ] Workshop Website [ Contact: glfrontiers@googlegroups. Find and Haozhen Zhang 1, Tao Feng, Jiaxuan You, University of Illinois at Urbana-Champaign 1 Work done as an intern. edu University of Southern California William L. Reload to refresh your session. edu Tao Feng, Yanzhen Shen, Jiaxuan You Department of Computer Science University of Illinois Urbana Champaign Urbana, IL, USA {taofeng2, yanzhen4, jiaxuan}@illinois. Kochenderfer Associate Professor, Stanford University Verified email at stanford. ML Systems Tao Feng*, Chuanyang Jin *, Jingyu Liu*, Kunlun Zhu*, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You TMLR 2024 Position Paper for ICLR 2024 AGI Workshop paper / project. Proceedings: No. Joined ; September 2022. PDT [ Abstract ] [ Contact: jiaxuan@illinois. Manage my profile. CS 598 JY2 - Topics in LLM Agents; CS 598 YOU - Deep Learning with Graphs; Related News. edu ABSTRACT The rapidly growing number and variety of Large Language Models (LLMs) present significant challenges in efficiently selecting the appropriate LLM for a Jiaxuan You Assistant Professor, UIUC CS Verified email at cs. Tables as Images? Exploring the Strengths and Limitations of LLMs on Multimodal Representations of Tabular Data. Jiaxuan You, Haoze Wu, Clark Barrett, Raghuram Ramanujan, Jure Leskovec. edu. m. [Project webpage]. Zeke Wang Zhejiang University Verified email at zju. UIUC. However,thesuccessofstaticgraphs has not You are highly encouraged to tune all kinds of hyper-parameters to get better performance. Courses. We define a novel graph-based representation of neural networks called relational graph, as opposed to the commonly used computational graph. Jiaxuan You Assistant Professor, UIUC CS Verified email at cs. Advances in Neural Information Processing Systems 32. Computer Science welcomes 17 new faculty Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay Pande, Jure Leskovec. %0 Conference Paper %T Graph Structure of Neural Networks %A Jiaxuan You %A Jure Leskovec %A Kaiming He %A Saining Xie %B Proceedings of the 37th International Conference on Machine Learning %C Proceedings of Machine Learning Research %D 2020 %E Hal Daumé III %E Aarti Singh %F pmlr-v119-you20b %I PMLR %P 10881--10891 %U Jiaxuan You, Xiaobai Ma, Yi Ding, Mykel J. View PDF Abstract: The rapid evolution of Graph Neural Networks (GNNs) has led to a growing number of new architectures as well as novel applications. D. Despite being an NP-complete problem, the subgraph matching problem is crucial in domains ranging from network science and database systems to biochemistry and cognitive science. He is 0 Followers, 38 Following, 54 Posts - Jiaxuan You (@jiaxuanyou97) on Instagram: "Keeps creating" 8/28/24 CS598: Deep Learning with Graphs, Jiaxuan You 10 Publicly available KGs: FreeBase, Wikidata, Dbpedia, YAGO, NELL, etc. No relations Authors. edu Jure Leskovec Professor of Computer Science, Stanford University Verified email at cs. However, despite their wide use, there is currently little understanding of the relationship between the graph structure of the neural network and its View a PDF of the paper titled Design Space for Graph Neural Networks, by Jiaxuan You and 2 other authors. Rafał Kocielnik. & Invest. from Stanford University and a bachelor's degree from Tsinghua University in China. Department of Computer Science, Stanford University, Xiaobai Ma. View PDF Abstract: Learning node embeddings that capture a node's position within the broader graph structure is crucial for many prediction tasks on graphs. The size of the This paper articulates the requisite capability frameworks for AGI, integrating the internal, interface, and system dimensions, and outlines existing challenges and potential pathways toward AGI in multiple domains. CS 598 JY2 - Topics in LLM Agents; CS 598 YOU - Deep Learning with Graphs Semantic Scholar profile for Jiaxuan You, with 27 highly influential citations and 4 scientific research papers. I am a M. You can also take a look at my undergrad projects. Abstract: The fact that our world is fundamentally interconnected presents unique challenges for modern data-driven research. student in Computer Science at the University of Illinois Urbana-Champaign (UIUC) starting from 2024 Fall. In recent years, graph learning has quickly grown into an established sub-field of machine learning. Jiaxuan You on defining artificial general intelligence. Machine learning with missing data has been approached in many different ways, including feature imputation where missing feature values are estimated based on observed values and label prediction where downstream labels are learned directly from incomplete data Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosen-berg, Jure Leskovec. edu 1 University of Illinois Urbana-Champaign 2 Johns Hopkins University 3 University of Chicago 4 University of California, Santa Cruz 5 Carnegie Mellon University Chuanyang Jin 2∗ Work done as an intern at UIUC. I am a SURF Research Fellow at Caltech, where I am fortunate to work with Prof. Graph Neural Networks (GNNs) are a powerful tool for machine learning on graphs. PST Jiaxuan You Assistant Professor, UIUC CS Verified email at cs. A mountain of gratitude to those who have kindly mentored me and inspired me with their vision and passion! Selected Honors & Awards . edu Structure prediction of large protein complexes (a. Researchers have been focusing on Jiaxuan YOU of Tsinghua University, Beijing (TH) | Contact Jiaxuan YOU View a PDF of the paper titled Position-aware Graph Neural Networks, by Jiaxuan You and 2 other authors. Jiaxuan You is a computer science researcher at Stanford University, USA. PDF Cite Project. Facebook gives people the power to Jiaxuan You 1 Jure Leskovec 1 Kaiming He 2 Saining Xie 2 Abstract Neural networks are often represented as graphs of connections between neurons. How-ever, the expressive power of existing GNNs is upper-bounded You signed in with another tab or window. I received my Help ensure that Illinois continues to set a global standard for engineering research and education. Course Chat. com] Background. How Far Are We From AGI?. Anima Anandkumar and Dr. io/ International banking • Nodes: Countries • Edges: Capital flows Bitcoin transactions • Nodes: BTC wallets • Edges: Transactions. edu 1 University of Illinois Urbana This paper proposes a graph of records (GoR), which leverages historical responses generated by LLMs to enhance RAG for long-context global summarization, and constructs a graph by establishing an edge between the retrieved text chunks and the corresponding LLM-generated response. However, existing techniques based on combinatorial Accepted Papers. I will join UIUC CS as a tenure-track Assistant Professor in 2024 Fall. {taofeng2, kunlunz2, jiaxuan}@illinois. Stanford University. In this talk, I will present my research on investigating the interconnected world through Jiaxuan You Jiaxuan You . Rao Fu, Jingyu Liu, Xilun Chen, Yixin Nie, Wenhan Xiong (2024). Retrieval-augmented generation (RAG) has revitalized Large Language Models (LLMs) by injecting non-parametric factual knowledge. arXiv Code. 1: Thirty-First AAAI Conference On Artificial Intelligence . Task: Image classification. View a PDF of the paper titled Relational Deep Learning: Graph Representation Learning on Relational Databases, by Matthias Fey and 8 other authors. Jiaxuan You comes to Illinois from Stanford University and will take a position in the CS faculty in Fall 2024. Articles Cited Jiaxuan You 1Jure Leskovec Kaiming He2 Saining Xie2 Abstract Neural networks are often represented as graphs of connections between neurons. Schedule Planner. 2024. Computer Science Department, Stanford University (cs. Abs DOI Bib PDF. Jiaxuan You, Jonathan M. LLM GNN RLHF. Yonatan Bisk Carnegie Mellon Ying, Zhitao and Bourgeois, Dylan and You, Jiaxuan and Zitnik, Marinka and Leskovec, Jure. See his publications, citations, co-authors, Jiaxuan You on defining artificial general intelligence Computer Science welcomes 17 new faculty members Record Number of Nearly 60 Faculty Join Grainger Engineering Jiaxuan You is a computer science researcher and educator at the University of Illinois Urbana-Champaign. View PDF Abstract: Neural networks are often represented as graphs of connections between neurons. The rapid evolution of Graph Neural Networks (GNNs) has led to a growing number of new architectures as well as novel applications. 2019. Fri 10 May, 11:30 p. You probably know that there are hundreds of possible GNN models, and selecting the best model is notoriously hard. Jiaxuan received his CS Ph. Sign in ulab-uiuc. Developing and evaluating practical SAT solvers relies on extensive empirical testing on a set of re Authors. hk. We then systematically investigate how does the Jiaxuan You jiaxuan@cs. ResearchTown: Simulator of Human Research Graph Neural Networks (GNNs) have been successfully applied to many real-world static graphs. We highly welcome pull requests from the community. What: An algorithm which adaptively mitigates spurious LOGML Summer School 2022Tutorial Title: PyTorch GeometricSpeaker Bio: Jiaxuan You is currently a founding member at Kumo AI. However, existing GNNs may have limited expressive power, especially in terms of Jiaxuan You1 Xiaobai Ma 2Daisy Yi Ding3 Mykel Kochenderfer Jure Leskovec1 1Department of Computer Science, 2Department of Aeronautics and Astronautics, and 3Department of Biomedical Data Science, Stanford University {jiaxuan, jure}@cs. Jiaxuan You is on Facebook. programs in Jiaxuan You. Thesis advisor Ermon, Stefano, degree committee member. PMID: 32265580 PMCID: PMC7138248 Abstract Graph Neural Networks (GNNs) are a powerful tool for machine learning on graphs. edu Abstract Jiaxuan You. Siebel School of Computing and Data View a PDF of the paper titled ROLAND: Graph Learning Framework for Dynamic Graphs, by Jiaxuan You and 2 other authors. Jiaxuan You. edu Stanford University Abstract Recently, graph neural networks (GNNs) %0 Conference Paper %T Graph Structure of Neural Networks %A Jiaxuan You %A Jure Leskovec %A Kaiming He %A Saining Xie %B Proceedings of the 37th International Conference on Machine Learning %C Proceedings of Machine Learning Research %D 2020 %E Hal Daumé III %E Aarti Singh %F pmlr-v119-you20b %I PMLR %P 10881--10891 %U Jiaxuan You · Marinka Zitnik · Rex Ying · Yizhou Sun · Hanjun Dai · Stefanie Jegelka Theater A. work useful, please cite our paper: @article{you2019g2sat, title={G2SAT: Learning to Generate SAT Formulas}, author={You, Jiaxuan and Wu, Haoze and Barrett, Clark and Ramanujan, Raghuram and Leskovec, Jure}, You, Jiaxuan (Machine learning researcher) author. cmu. Issue: Proceedings of the AAAI Conference on Artificial Intelligence, 31. AGI, Message passing Graph Neural Networks (GNNs) provide a powerful modeling framework for relational data. edu Abstract Graph Neural Networks (GNNs) are a powerful tool for machine learning on Jiaxuan You, Jonathan Gomes-Selman, Rex Ying, Jure Leskovec Department of Computer Science, Stanford University fjiaxuan, jgs8, rexy, jureg@cs. However, de-spite their wide use, there is currently little un-derstanding of the relationship between the graph structure of the neural network and its predictive performance. Jiaxuan You · Ge Liu · Yunzhu Li · Song Han · Dawn Song Halle A 7. edu Apurv Verma NJIT Verified email at njit. Product GitHub Copilot. This will be exciting to understand and use it. TMLR 2024. PI: Jiaxuan You. However, the success of static graphs has not fully translated to dynamic graphs due to the limitations in model design, 1D Convolution,Central Node,Commonsense Knowledge,Convolutional Layers,Data Split,Extra Information,Gating Function,General Learning,Global Threshold,Graph Completion Jiaxuan You Jiaxuan You . However, finding large commonly-occurring motifs remains an open problem due to its NP-hard 8/28/24 CS598: Deep Learning with Graphs, Jiaxuan You 19 Graph is a general language, but don’t over-use it! E. py at master · JiaxuanYou/graph-generation Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec International Conference on Learning Representations (ICLR), 2023 We propose AutoTransfer, an AutoML solution that improves search efficiency by transferring the known architectural Jiaxuan You Assistant Professor, UIUC CS Verified email at cs. Rupture imaging of megathrust earthquakes with global seismic arrays revealed frequency-dependent rupture signatures1–4, but the role of high-frequency radiators remains unclear3–5. edu Stanford University California, USA Jure Leskovec jure@cs. tjx bcoq fjqqorvo pwgavrj qlk zhcyd unph yacdo lgbgic sibuy