Title
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling Yadan Luo Zi Huang Zheng Zhang Ziwei Wang Mahsa Baktashmotlagh Yang Yang CLL BDL 63 25 0 12 Nov 2019
BP-Transformer: Modelling Long-Range Context via Binary Partitioning Zihao Ye Qipeng Guo Quan Gan Xipeng Qiu Zheng Zhang 96 78 0 11 Nov 2019
A Spectral Nonlocal Block for Neural Networks Lei Zhu Qi She Lidan Zhang Ping Guo 73 2 0 04 Nov 2019
Chirality Nets for Human Pose Regression Raymond A. Yeh Yuan-Ting Hu Alex Schwing 3DH 66 50 0 31 Oct 2019
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Raymond A. Yeh Alex Schwing 77 83 0 31 Oct 2019
Object-oriented state editing for HRL V. Bapst Alvaro Sanchez-Gonzalez Omar Shams Kimberly L. Stachenfeld Peter W. Battaglia Satinder Singh Jessica B. Hamrick 39 3 0 31 Oct 2019
Learning Transferable Graph Exploration H. Dai Yujia Li Chenglong Wang Rishabh Singh Po-Sen Huang Pushmeet Kohli 79 21 0 28 Oct 2019
Hyperbolic Graph Neural Networks Qi Liu Maximilian Nickel Douwe Kiela AI4CE GNN 75 381 0 28 Oct 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning Rishi Veerapaneni John D. Co-Reyes Michael Chang Michael Janner Chelsea Finn Jiajun Wu J. Tenenbaum Sergey Levine OCL OffRL 156 189 0 28 Oct 2019
PharML.Bind: Pharmacologic Machine Learning for Protein-Ligand Interactions A. Vose J. Balma Damon Farnsworth Kaylie Anderson Y. Peterson 25 0 0 23 Oct 2019
Neural Execution of Graph Algorithms Petar Velickovic Rex Ying Matilde Padovano R. Hadsell Charles Blundell GNN 94 172 0 23 Oct 2019
Graph Representation learning for Audio & Music genre Classification Shubham Dokania Vasudev Singh GNN 53 8 0 23 Oct 2019
Decoupling feature propagation from the design of graph auto-encoders P. Scherer Helena Andrés-Terré Pietro Lio M. Jamnik BDL 16 1 0 18 Oct 2019
Learning Compositional Koopman Operators for Model-Based Control Yunzhu Li Hao He Jiajun Wu Dina Katabi Antonio Torralba 112 121 0 18 Oct 2019
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case Paul Almasan J. Suárez-Varela Krzysztof Rusek Pere Barlet-Ros A. Cabellos-Aparicio GNN AI4CE 123 191 0 16 Oct 2019
R-SQAIR: Relational Sequential Attend, Infer, Repeat Aleksandar Stanić Jürgen Schmidhuber 82 31 0 11 Oct 2019
A Theory of Relation Learning and Cross-domain Generalization L. Doumas Guillermo Puebla Andrea E. Martin J. Hummel NAI 87 30 0 11 Oct 2019
Object-centric Forward Modeling for Model Predictive Control Yufei Ye Dhiraj Gandhi Abhinav Gupta Shubham Tulsiani LM&Ro OCL 62 39 0 08 Oct 2019
Irregular Convolutional Auto-Encoder on Point Clouds Yuhui Zhang G. Gutmann Konagaya Akihiko 3DPC 35 2 0 07 Oct 2019
Structured Object-Aware Physics Prediction for Video Modeling and Planning Jannik Kossen Karl Stelzner Marcel Hussing C. Voelcker Kristian Kersting OCL 103 70 0 06 Oct 2019
Text Level Graph Neural Network for Text Classification Lianzhe Huang Dehong Ma Sujian Li Xiaodong Zhang Houfeng WANG GNN 114 263 0 06 Oct 2019
Neural Language Priors Joseph Enguehard Dan Busbridge V. Zhelezniak Nils Y. Hammerla 40 3 0 04 Oct 2019
Layout-Graph Reasoning for Fashion Landmark Detection Weijiang Yu Xiaodan Liang Ke Gong R. Coelho Nong Xiao Liang Lin 86 36 0 04 Oct 2019
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN Maik Ender Pawel Swierczynski Paul Almasan Paul Martin Knopp A. Cabellos-Aparicio GNN 75 248 0 03 Oct 2019
Environmental drivers of systematicity and generalization in a situated agent Felix Hill Andrew Kyle Lampinen R. Schneider S. Clark M. Botvinick James L. McClelland Adam Santoro OOD 136 107 0 01 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 85 27 0 01 Oct 2019
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks Mokanarangan Thayaparan Marco Valentino Viktor Schlegel André Freitas GNN 74 16 0 01 Oct 2019
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving M. Huegle Gabriel Kalweit M. Werling Joschka Boedecker 3DPC 55 37 0 30 Sep 2019
Spread-gram: A spreading-activation schema of network structural learning Jie Bai Linjing Li D. Zeng GNN 20 0 0 30 Sep 2019
Improving Textual Network Learning with Variational Homophilic Embeddings Wenlin Wang Chenyang Tao Zhe Gan Guoyin Wang Liqun Chen Xinyuan Zhang Ruiyi Zhang Qian Yang Ricardo Henao Lawrence Carin DRL 39 16 0 30 Sep 2019
Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes Jiacheng Pan Hongyi Sun Kecheng Xu Yifei Jiang Xiangquan Xiao Jiangtao Hu Jinghao Miao 68 37 0 29 Sep 2019
Policy Message Passing: A New Algorithm for Probabilistic Graph Inference Zhiwei Deng Greg Mori 54 0 0 29 Sep 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 88 180 0 27 Sep 2019
Hamiltonian Graph Networks with ODE Integrators Alvaro Sanchez-Gonzalez V. Bapst Kyle Cranmer Peter W. Battaglia AI4CE 104 179 0 27 Sep 2019
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network Heechang Ryu Hayong Shin Jinkyoo Park 60 118 0 27 Sep 2019
CoPhy: Counterfactual Learning of Physical Dynamics Fabien Baradel Natalia Neverova J. Mille Greg Mori Christian Wolf CML AI4CE 124 97 0 26 Sep 2019
Can $Q$ -Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver? Vitaly Kurin Saad Godil Shimon Whiteson Bryan Catanzaro NAI 76 28 0 26 Sep 2019
Haar Graph Pooling Yu Guang Wang Ming Li Zheng Ma Guido Montúfar Xiaosheng Zhuang Yanan Fan GNN 68 8 0 25 Sep 2019
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning Xiaoran Xu Wei Feng Yunsheng Jiang Xiaohui Xie Zhiqing Sun Zhihong Deng LRM 97 53 0 25 Sep 2019
Recurrent Independent Mechanisms Anirudh Goyal Alex Lamb Jordan Hoffmann Shagun Sodhani Sergey Levine Yoshua Bengio Bernhard Schölkopf 144 338 0 24 Sep 2019
Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions Boris Knyazev Carolyn Augusta Graham W. Taylor 83 31 0 23 Sep 2019
Deep Message Passing on Sets Yifeng Shi Junier Oliva Marc Niethammer PINN 38 9 0 21 Sep 2019
Graph Neural Networks for Human-aware Social Navigation Luis J. Manso Ronit R. Jorvekar Diego Resende Faria Pablo Bustos P. Bachiller GNN 52 17 0 19 Sep 2019
Recursive Graphical Neural Networks for Text Classification Wei Li Shuheng Li Shuming Ma Yancheng He Deli Chen Xu Sun GNN 60 10 0 18 Sep 2019
Graph Nets for Partial Charge Prediction Yuanqing Wang Josh Fass Chaya D. Stern Kun Luo J. Chodera GNN 38 17 0 17 Sep 2019
Learning to Manipulate Object Collections Using Grounded State Representations Matthew Wilson Tucker Hermans SSL 104 27 0 17 Sep 2019
Analyzing machine-learned representations: A natural language case study Ishita Dasgupta Demi Guo S. Gershman Noah D. Goodman NAI 62 13 0 12 Sep 2019
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 280 86 0 12 Sep 2019
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation Jiawei Zhang Lin Meng 101 54 0 12 Sep 2019
Graph Random Neural Features for Distance-Preserving Graph Representations Daniele Zambon Cesare Alippi L. Livi 28 1 0 09 Sep 2019