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Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Jan 15, 2021
Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li

* Accepted to ICLR 2021 

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WILDS: A Benchmark of in-the-Wild Distribution Shifts

Dec 14, 2020
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang


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Design Space for Graph Neural Networks

Nov 17, 2020
Jiaxuan You, Rex Ying, Jure Leskovec

* NeurIPS 2020 (Spotlight) 

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Coresets for Robust Training of Neural Networks against Noisy Labels

Nov 15, 2020
Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec

* Advances in Neural Information Processing Systems 2020 

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F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams

Nov 09, 2020
Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec

* WSDM 2021 

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Handling Missing Data with Graph Representation Learning

Oct 30, 2020
Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel Kochenderfer, Jure Leskovec

* NeurIPS 2020 

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Graph Information Bottleneck

Oct 24, 2020
Tailin Wu, Hongyu Ren, Pan Li, Jure Leskovec

* 20 pages, 3 figures, NeurIPS 2020 

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Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Oct 22, 2020
Hongyu Ren, Jure Leskovec

* NeurIPS 2020 

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Direct Multi-hop Attention based Graph Neural Network

Oct 02, 2020
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec


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Inductive Learning on Commonsense Knowledge Graph Completion

Sep 19, 2020
Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C. -C. Jay Kuo

* 10 pages, 3 figures, 7 tables 

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Distance Encoding -- Design Provably More Powerful Graph Neural Networks for Structural Representation Learning

Sep 05, 2020
Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec


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Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning

Aug 31, 2020
Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec


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OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation

Aug 17, 2020
Hongyu Ren, Yuke Zhu, Jure Leskovec, Anima Anandkumar, Animesh Garg

* UAI 2020 

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Concept Learners for Generalizable Few-Shot Learning

Jul 14, 2020
Kaidi Cao, Maria Brbic, Jure Leskovec


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Graph Structure of Neural Networks

Jul 13, 2020
Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie

* ICML 2020 

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PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest

Jul 07, 2020
Aditya Pal, Chantat Eksombatchai, Yitong Zhou, Bo Zhao, Charles Rosenberg, Jure Leskovec

* KDD 2020 
* 10 pages, 7 figures 

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Neural Subgraph Matching

Jul 06, 2020
Rex, Ying, Zhaoyu Lou, Jiaxuan You, Chengtao Wen, Arquimedes Canedo, Jure Leskovec


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Improving Query Safety at Pinterest

Jun 23, 2020
Abhijit Mahabal, Yinrui Li, Rajat Raina, Daniel Sun, Revati Mahajan, Jure Leskovec


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M2P2: Multimodal Persuasion Prediction using Adaptive Fusion

Jun 03, 2020
Chongyang Bai, Haipeng Chen, Srijan Kumar, Jure Leskovec, V. S. Subrahmanian


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Open Graph Benchmark: Datasets for Machine Learning on Graphs

May 02, 2020
Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec


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Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Feb 29, 2020
Hongyu Ren, Weihua Hu, Jure Leskovec

* ICLR 2020 

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Learning to Simulate Complex Physics with Graph Networks

Feb 21, 2020
Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia

* Submitted to ICML 2020 

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Entity Context and Relational Paths for Knowledge Graph Completion

Feb 17, 2020
Hongwei Wang, Hongyu Ren, Jure Leskovec


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Unifying Graph Convolutional Neural Networks and Label Propagation

Feb 17, 2020
Hongwei Wang, Jure Leskovec


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G2SAT: Learning to Generate SAT Formulas

Oct 29, 2019
Jiaxuan You, Haoze Wu, Clark Barrett, Raghuram Ramanujan, Jure Leskovec

* Accepted by NeurIPS 2019. Equal contribution 

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Hyperbolic Graph Convolutional Neural Networks

Oct 28, 2019
Ines Chami, Rex Ying, Christopher Ré, Jure Leskovec

* Published at Conference NeurIPS 2019. First 2 authors have equal contribution 

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Improving Graph Attention Networks with Large Margin-based Constraints

Oct 25, 2019
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec


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Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks

Aug 03, 2019
Srijan Kumar, Xikun Zhang, Jure Leskovec

* ACM SIGKDD 2019 research track oral paper. The code and datasets are available on the project website: https://github.com/srijankr/jodie/ arXiv admin note: substantial text overlap with arXiv:1812.02289 

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