Title
Equivariant Entity-Relationship Networks Devon R. Graham Junhao Wang Siamak Ravanbakhsh 59 8 0 21 Mar 2019
Uncertainty quantification of molecular property prediction with Bayesian neural networks Seongok Ryu Yongchan Kwon W. Kim BDL 60 18 0 20 Mar 2019
Extrapolating paths with graph neural networks Jean-Baptiste Cordonnier Andreas Loukas GNN 57 17 0 18 Mar 2019
Autoregressive Models for Sequences of Graphs Daniele Zambon Daniele Grattarola L. Livi Cesare Alippi 49 8 0 18 Mar 2019
Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems Henrique Lemos Marcelo O. R. Prates Pedro H. C. Avelar Luís C. Lamb GNN 78 85 0 11 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 161 1,335 0 10 Mar 2019
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method Shangsheng Xie Mingming Lu FAtt GNN 73 16 0 09 Mar 2019
Learning Self-Game-Play Agents for Combinatorial Optimization Problems Ruiyang Xu K. Lieberherr AI4CE 45 12 0 08 Mar 2019
A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation Kun Wang WaiChing Sun Q. Du AI4CE 61 56 0 08 Mar 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 139 262 0 06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 267 4,373 0 06 Mar 2019
Attacking Graph-based Classification via Manipulating the Graph Structure Binghui Wang Neil Zhenqiang Gong AAML 102 156 0 01 Mar 2019
A Behavioral Approach to Visual Navigation with Graph Localization Networks Kevin Chen Juan Pablo de Vicente G. Sepulveda Fei Xia Á. Soto Nathan Tsoi Silvio Savarese GNN 68 100 0 01 Mar 2019
Learning to Generate Questions by Learning What not to Generate Bang Liu Mingjun Zhao Di Niu Kunfeng Lai Yancheng He Haojie Wei Yu-Syuan Xu OOD 83 102 0 27 Feb 2019
Differentiable Scene Graphs Moshiko Raboh Roei Herzig Gal Chechik Jonathan Berant Amir Globerson OCL 99 34 0 26 Feb 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks Andrew N. Carr David Wingate BDL 67 12 0 26 Feb 2019
Artificial Intelligence in Intelligent Tutoring Robots: A Systematic Review and Design Guidelines Jinyu Yang Bo Zhang 57 51 0 26 Feb 2019
A Survey on Graph Processing Accelerators: Challenges and Opportunities Chuangyi Gui Long Zheng Bingsheng He Cheng Liu Xinyu Chen Xiaofei Liao Hai Jin GNN 120 71 0 26 Feb 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun Per Karlsson Jiajun Wu J. Tenenbaum Kevin Patrick Murphy 83 89 0 25 Feb 2019
MUREL: Multimodal Relational Reasoning for Visual Question Answering Rémi Cadène H. Ben-younes Matthieu Cord Nicolas Thome LRM 81 277 0 25 Feb 2019
Star-Transformer Qipeng Guo Xipeng Qiu Pengfei Liu Yunfan Shao Xiangyang Xue Zheng Zhang 96 264 0 25 Feb 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 143 574 0 22 Feb 2019
Unsupervised Grounding of Plannable First-Order Logic Representation from Images Masataro Asai NAI 83 58 0 21 Feb 2019
Learning representations of irregular particle-detector geometry with distance-weighted graph networks S. Qasim J. Kieseler Y. Iiyama M. Pierini 100 137 0 21 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 254 3,190 0 19 Feb 2019
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity Deepak Pathak Chris Xiaoxuan Lu Trevor Darrell Phillip Isola Alexei A. Efros 53 135 0 14 Feb 2019
Context-Aware Visual Compatibility Prediction Guillem Cucurull Perouz Taslakian David Vazquez 81 99 0 10 Feb 2019
Differentiable Physics-informed Graph Networks Sungyong Seo Yan Liu PINN AI4CE 94 67 0 08 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 120 77 0 07 Feb 2019
Non-Monotonic Sequential Text Generation Sean Welleck Kianté Brantley Hal Daumé Kyunghyun Cho 89 130 0 05 Feb 2019
Learning Context-Dependent Choice Functions Karlson Pfannschmidt Pritha Gupta Björn Haddenhorst Eyke Hüllermeier 58 7 0 29 Jan 2019
Causal Reasoning from Meta-reinforcement Learning Ishita Dasgupta Jane X. Wang Silvia Chiappa Jovana Mitrović Pedro A. Ortega David Raposo Edward Hughes Peter W. Battaglia M. Botvinick Z. Kurth-Nelson CML LRM 71 122 0 23 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 103 630 0 23 Jan 2019
Typed Graph Networks Marcelo O. R. Prates Pedro H. C. Avelar Henrique Lemos Marco Gori Luís C. Lamb GNN 55 6 0 23 Jan 2019
MONet: Unsupervised Scene Decomposition and Representation Christopher P. Burgess Loic Matthey Nicholas Watters Rishabh Kabra I. Higgins M. Botvinick Alexander Lerchner OCL 95 531 0 22 Jan 2019
Incremental Reading for Question Answering Samira Abnar Tania Bedrax-Weiss Tom Kwiatkowski William W. Cohen CLL LRM 32 0 0 15 Jan 2019
Integrating Learning and Reasoning with Deep Logic Models G. Marra Francesco Giannini Michelangelo Diligenti Marco Gori NAI 96 57 0 14 Jan 2019
Using Scene Graph Context to Improve Image Generation Subarna Tripathi Anahita Bhiwandiwalla A. Bastidas Hanlin Tang GNN 102 32 0 11 Jan 2019
All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent Representations with Graph Convolutional Networks Stephen Phillips Kostas Daniilidis GNN 139 13 0 07 Jan 2019
Geometrization of deep networks for the interpretability of deep learning systems Xiao Dong Ling Zhou AI4CE 31 9 0 06 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 98 228 0 06 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 116 396 0 05 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 822 8,608 0 03 Jan 2019
A General Deep Learning Framework for Network Reconstruction and Dynamics Learning Zhang Zhang Yi Zhao Jing Liu Shuo Wang Ruyi Tao Ruyue Xin Jiang Zhang AI4CE 50 54 0 30 Dec 2018
Scene Graph Reasoning with Prior Visual Relationship for Visual Question Answering Zhuoqian Yang Zengchang Qin Jing Yu Yue Hu GNN 80 16 0 23 Dec 2018
RNNs Implicitly Implement Tensor Product Representations R. Thomas McCoy Tal Linzen Ewan Dunbar P. Smolensky 81 54 0 20 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.2K 5,569 0 20 Dec 2018
Modular meta-learning in abstract graph networks for combinatorial generalization Ferran Alet Maria Bauzá Alberto Rodriguez Tomas Lozano-Perez L. Kaelbling GNN 64 3 0 19 Dec 2018
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition Hao Huang Luowei Zhou Wei Zhang Jason J. Corso Chenliang Xu 59 3 0 13 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 183 1,342 0 11 Dec 2018