Title
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Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks Yu Chen Lingfei Wu Mohammed J Zaki 71 51 0 13 Apr 2020
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Autonomous discovery in the chemical sciences part II: Outlook Connor W. Coley Natalie S. Eyke K. Jensen 91 175 0 30 Mar 2020
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Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers Michal Rolínek Paul Swoboda Dominik Zietlow Anselm Paulus Vít Musil Georg Martius 90 113 0 25 Mar 2020
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis Chris Cummins Zacharias V. Fisches Tal Ben-Nun Torsten Hoefler Hugh Leather 177 59 0 23 Mar 2020
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming Ali Payani Faramarz Fekri 103 18 0 23 Mar 2020
Adversarial Examples and the Deeper Riddle of Induction: The Need for a Theory of Artifacts in Deep Learning Cameron Buckner AAML 13 3 0 20 Mar 2020
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High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification Guanán Wang Shuo Yang Huanyu Liu Zhicheng Wang Yang Yang Shuliang Wang Gang Yu Erjin Zhou Jian Sun 117 379 0 18 Mar 2020
A comprehensive study on the prediction reliability of graph neural networks for virtual screening Soojung Yang K. Lee Seongok Ryu 61 7 0 17 Mar 2020
Health State Estimation Nitish Nag 25 10 0 16 Mar 2020
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PushNet: Efficient and Adaptive Neural Message Passing Julian Busch Jiaxing Pi T. Seidl GNN 93 12 0 04 Mar 2020
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning Haozhe Jasper Wang Jiale Zhou Xuming He OffRL LRM 81 15 0 03 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 635 957 0 02 Mar 2020
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies Wei Jin Yaxin Li Han Xu Yiqi Wang Shuiwang Ji Charu C. Aggarwal Jiliang Tang AAML GNN 127 103 0 02 Mar 2020
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Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 150 1,107 0 21 Feb 2020
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An Overview of Distance and Similarity Functions for Structured Data Santiago Ontañón 92 87 0 18 Feb 2020
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network Jiachen Li Hengbo Ma Zhihao Zhang Masayoshi Tomizuka 96 54 0 14 Feb 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows Kashif Rasul Abdul-Saboor Sheikh Ingmar Schuster Urs M. Bergmann Roland Vollgraf BDL AI4TS AI4CE 137 187 0 14 Feb 2020
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Explainable Deep Modeling of Tabular Data using TableGraphNet G. Terejanu Jawad Chowdhury Rezaur Rashid Asif J. Chowdhury LMTD FAtt 16 3 0 12 Feb 2020
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Differentiable Graph Module (DGM) for Graph Convolutional Networks Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 91 133 0 11 Feb 2020