More from the Same Authors

• 2021 : Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development »
  Kexin Huang · Tianfan Fu · Wenhao Gao · Yue Zhao · Yusuf Roohani · Jure Leskovec · Connor Coley · Cao Xiao · Jimeng Sun · Marinka Zitnik
• 2021 Spotlight: Combiner: Full Attention Transformer with Sparse Computation Cost »
  Hongyu Ren · Hanjun Dai · Zihang Dai · Mengjiao (Sherry) Yang · Jure Leskovec · Dale Schuurmans · Bo Dai
• 2021 : OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs »
  Weihua Hu · Matthias Fey · Hongyu Ren · Maho Nakata · Yuxiao Dong · Jure Leskovec
• 2021 : Extending the WILDS Benchmark for Unsupervised Adaptation »
  Shiori Sagawa · Pang Wei Koh · Tony Lee · Irena Gao · Sang Michael Xie · Kendrick Shen · Ananya Kumar · Weihua Hu · Michihiro Yasunaga · Henrik Marklund · Sara Beery · Ian Stavness · Jure Leskovec · Kate Saenko · Tatsunori Hashimoto · Sergey Levine · Chelsea Finn · Percy Liang
• 2022 : Tabular deep learning when $d \gg n$ by using an auxiliary knowledge graph »
  Camilo Ruiz · Hongyu Ren · Kexin Huang · Jure Leskovec
• 2022 : Learning Controllable Adaptive Simulation for Multi-scale Physics »
  Tailin Wu · Takashi Maruyama · Qingqing Zhao · Gordon Wetzstein · Jure Leskovec
• 2022 : Learning Efficient Hybrid Particle-continuum Representations of Non-equilibrium N-body Systems »
  Tailin Wu · Michael Sun · Hsuan-Gu Chou · Pranay Reddy Samala · Sithipont Cholsaipant · Sophia Kivelson · Jacqueline Yau · Rex Ying · E. Paulo Alves · Jure Leskovec · Frederico Fiuza
• 2022 : AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks »
  Kaidi Cao · Jiaxuan You · Jiaju Liu · Jure Leskovec
• 2022 : Efficient Automatic Machine Learning via Design Graphs »
  Shirley Wu · Jiaxuan You · Jure Leskovec · Rex Ying
• 2023 Poster: Uncertainty Quantification over Graph with Conformalized Graph Neural Networks »
  Kexin Huang · Ying Jin · Emmanuel Candes · Jure Leskovec
• 2023 Poster: PRODIGY: Enabling In-context Learning Over Graphs »
  Qian Huang · Hongyu Ren · Peng Chen · Gregor Kržmanc · Daniel Zeng · Percy Liang · Jure Leskovec
• 2023 Poster: When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability »
  Sitao Luan · Chenqing Hua · Minkai Xu · Qincheng Lu · Jiaqi Zhu · Xiao-Wen Chang · Jie Fu · Jure Leskovec · Doina Precup
• 2023 Poster: Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph »
  Camilo Ruiz · Hongyu Ren · Kexin Huang · Jure Leskovec
• 2023 Poster: Zero-shot causal learning »
  Hamed Nilforoshan · Michael Moor · Yusuf Roohani · Yining Chen · Anja Šurina · Michihiro Yasunaga · Sara Oblak · Jure Leskovec
• 2023 Poster: Learning Large Graph Property Prediction via Graph Segment Training »
  Kaidi Cao · Phitchaya Phothilimtha · Sami Abu-El-Haija · Dustin Zelle · Yanqi Zhou · Charith Mendis · Jure Leskovec · Bryan Perozzi
• 2023 Poster: Holistic Evaluation of Text-to-Image Models »
  Tony Lee · Michihiro Yasunaga · Chenlin Meng · Yifan Mai · Joon Sung Park · Agrim Gupta · Yunzhi Zhang · Deepak Narayanan · Hannah Teufel · Marco Bellagente · Minguk Kang · Taesung Park · Jure Leskovec · Jun-Yan Zhu · Fei-Fei Li · Jiajun Wu · Stefano Ermon · Percy Liang
• 2023 Poster: Temporal Graph Benchmark for Machine Learning on Temporal Graphs »
  Shenyang Huang · Farimah Poursafaei · Jacob Danovitch · Matthias Fey · Weihua Hu · Emanuele Rossi · Jure Leskovec · Michael Bronstein · Guillaume Rabusseau · Reihaneh Rabbany
• 2023 Workshop: Generative AI and Biology (GenBio@NeurIPS2023) »
  Minkai Xu · Regina Barzilay · Jure Leskovec · Wenxian Shi · Menghua Wu · Zhenqiao Song · Lei Li · Fan Yang · Stefano Ermon
• 2023 Workshop: AI for Science: from Theory to Practice »
  Yuanqi Du · Max Welling · Yoshua Bengio · Marinka Zitnik · Carla Gomes · Jure Leskovec · Maria Brbic · Wenhao Gao · Kexin Huang · Ziming Liu · Rocío Mercado · Miles Cranmer · Shengchao Liu · Lijing Wang
• 2023 Workshop: New Frontiers of AI for Drug Discovery and Development »
  Animashree Anandkumar · Ilija Bogunovic · Ti-chiun Chang · Quanquan Gu · Jure Leskovec · Michelle Li · Chong Liu · Nataša Tagasovska · Wei Wang
• 2022 Competition: OGB-LSC 2022: A Large-Scale Challenge for ML on Graphs »
  Weihua Hu · Matthias Fey · Hongyu Ren · Maho Nakata · Yuxiao Dong · Jure Leskovec
• 2022 : Introduction to OGB-LSC »
  Jure Leskovec
• 2022 Poster: Deep Bidirectional Language-Knowledge Graph Pretraining »
  Michihiro Yasunaga · Antoine Bosselut · Hongyu Ren · Xikun Zhang · Christopher D Manning · Percy Liang · Jure Leskovec
• 2022 Poster: ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time »
  Tailin Wu · Megan Tjandrasuwita · Zhengxuan Wu · Xuelin Yang · Kevin Liu · Rok Sosic · Jure Leskovec
• 2022 Poster: Learning to Accelerate Partial Differential Equations via Latent Global Evolution »
  Tailin Wu · Takashi Maruyama · Jure Leskovec
• 2022 Poster: Few-shot Relational Reasoning via Connection Subgraph Pretraining »
  Qian Huang · Hongyu Ren · Jure Leskovec
• 2021 Poster: Combiner: Full Attention Transformer with Sparse Computation Cost »
  Hongyu Ren · Hanjun Dai · Zihang Dai · Mengjiao (Sherry) Yang · Jure Leskovec · Dale Schuurmans · Bo Dai
• 2021 Poster: Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones »
  Yushi Bai · Zhitao Ying · Hongyu Ren · Jure Leskovec
• 2021 Poster: Neural Distance Embeddings for Biological Sequences »
  Gabriele Corso · Zhitao Ying · Michal Pándy · Petar Veličković · Jure Leskovec · Pietro Liò
• 2020 : Q&A #2 »
  Heng Ji · Jure Leskovec · Jiajun Wu
• 2020 : Invited Talk #4 »
  Jure Leskovec
• 2020 Poster: Open Graph Benchmark: Datasets for Machine Learning on Graphs »
  Weihua Hu · Matthias Fey · Marinka Zitnik · Yuxiao Dong · Hongyu Ren · Bowen Liu · Michele Catasta · Jure Leskovec
• 2020 Poster: Coresets for Robust Training of Deep Neural Networks against Noisy Labels »
  Baharan Mirzasoleiman · Kaidi Cao · Jure Leskovec
• 2020 Poster: Graph Information Bottleneck »
  Tailin Wu · Hongyu Ren · Pan Li · Jure Leskovec
• 2020 Spotlight: Open Graph Benchmark: Datasets for Machine Learning on Graphs »
  Weihua Hu · Matthias Fey · Marinka Zitnik · Yuxiao Dong · Hongyu Ren · Bowen Liu · Michele Catasta · Jure Leskovec
• 2020 Poster: Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning »
  Pan Li · Yanbang Wang · Hongwei Wang · Jure Leskovec
• 2020 Poster: Handling Missing Data with Graph Representation Learning »
  Jiaxuan You · Xiaobai Ma · Yi Ding · Mykel J Kochenderfer · Jure Leskovec
• 2020 Poster: Design Space for Graph Neural Networks »
  Jiaxuan You · Zhitao Ying · Jure Leskovec
• 2020 Poster: Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs »
  Hongyu Ren · Jure Leskovec
• 2020 Spotlight: Design Space for Graph Neural Networks »
  Jiaxuan You · Zhitao Ying · Jure Leskovec
• 2019 Workshop: Graph Representation Learning »
  Will Hamilton · Rianne van den Berg · Michael Bronstein · Stefanie Jegelka · Thomas Kipf · Jure Leskovec · Renjie Liao · Yizhou Sun · Petar Veličković
• 2019 Poster: Hyperbolic Graph Convolutional Neural Networks »
  Ines Chami · Zhitao Ying · Christopher Ré · Jure Leskovec
• 2019 Poster: G2SAT: Learning to Generate SAT Formulas »
  Jiaxuan You · Haoze Wu · Clark Barrett · Raghuram Ramanujan · Jure Leskovec
• 2019 Poster: GNNExplainer: Generating Explanations for Graph Neural Networks »
  Zhitao Ying · Dylan Bourgeois · Jiaxuan You · Marinka Zitnik · Jure Leskovec
• 2018 Poster: Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation »
  Jiaxuan You · Bowen Liu · Zhitao Ying · Vijay Pande · Jure Leskovec
• 2018 Poster: Dynamic Network Model from Partial Observations »
  Elahe Ghalebi · Baharan Mirzasoleiman · Radu Grosu · Jure Leskovec
• 2018 Spotlight: Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation »
  Jiaxuan You · Bowen Liu · Zhitao Ying · Vijay Pande · Jure Leskovec
• 2018 Spotlight: Dynamic Network Model from Partial Observations »
  Elahe Ghalebi · Baharan Mirzasoleiman · Radu Grosu · Jure Leskovec
• 2018 Poster: Hierarchical Graph Representation Learning with Differentiable Pooling »
  Zhitao Ying · Jiaxuan You · Christopher Morris · Xiang Ren · Will Hamilton · Jure Leskovec
• 2018 Spotlight: Hierarchical Graph Representation Learning with Differentiable Pooling »
  Zhitao Ying · Jiaxuan You · Christopher Morris · Xiang Ren · Will Hamilton · Jure Leskovec
• 2018 Poster: Embedding Logical Queries on Knowledge Graphs »
  Will Hamilton · Payal Bajaj · Marinka Zitnik · Dan Jurafsky · Jure Leskovec
• 2017 : Jure Leskovec, Stanford »
  Jure Leskovec
• 2017 Poster: Inductive Representation Learning on Large Graphs »
  Will Hamilton · Zhitao Ying · Jure Leskovec
• 2016 Poster: Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making »
  Himabindu Lakkaraju · Jure Leskovec
• 2013 Workshop: Frontiers of Network Analysis: Methods, Models, and Applications »
  Edo M Airoldi · David S Choi · Aaron Clauset · Khalid El-Arini · Jure Leskovec
• 2013 Poster: Nonparametric Multi-group Membership Model for Dynamic Networks »
  Myunghwan Kim · Jure Leskovec
• 2012 Workshop: Social network and social media analysis: Methods, models and applications »
  Edo M Airoldi · David S Choi · Khalid El-Arini · Jure Leskovec
• 2012 Poster: Learning to Discover Social Circles in Ego Networks »
  Julian J McAuley · Jure Leskovec
• 2010 Workshop: Networks Across Disciplines: Theory and Applications »
  Edo M Airoldi · Anna Goldenberg · Jure Leskovec · Quaid Morris
• 2010 Oral: On the Convexity of Latent Social Network Inference »
  Seth A Myers · Jure Leskovec
• 2010 Poster: On the Convexity of Latent Social Network Inference »
  Seth A Myers · Jure Leskovec
• 2009 Workshop: Analyzing Networks and Learning With Graphs »
  Edo M Airoldi · Jure Leskovec · Jon Kleinberg · Josh Tenenbaum