Title
Learning representations of irregular particle-detector geometry with distance-weighted graph networks S. Qasim J. Kieseler Y. Iiyama M. Pierini 22 135 0 21 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 9 3,109 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 10 128 0 14 Feb 2019
Context-Aware Visual Compatibility Prediction Guillem Cucurull Perouz Taslakian David Vazquez 13 99 0 10 Feb 2019
Differentiable Physics-informed Graph Networks Sungyong Seo Yan Liu PINN AI4CE 17 67 0 08 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 22 77 0 07 Feb 2019
Non-Monotonic Sequential Text Generation Sean Welleck Kianté Brantley Hal Daumé Kyunghyun Cho 36 129 0 05 Feb 2019
Learning Context-Dependent Choice Functions Karlson Pfannschmidt Pritha Gupta Björn Haddenhorst Eyke Hüllermeier 14 6 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 12 120 0 23 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip H. S. Torr GNN 12 610 0 23 Jan 2019
Typed Graph Networks Marcelo O. R. Prates Pedro H. C. Avelar Henrique Lemos Marco Gori Luís C. Lamb GNN 23 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 24 515 0 22 Jan 2019
Incremental Reading for Question Answering Samira Abnar Tania Bedrax-Weiss Tom Kwiatkowski William W. Cohen CLL LRM 14 0 0 15 Jan 2019
Integrating Learning and Reasoning with Deep Logic Models G. Marra Francesco Giannini Michelangelo Diligenti Marco Gori NAI 24 56 0 14 Jan 2019
Using Scene Graph Context to Improve Image Generation Subarna Tripathi Anahita Bhiwandiwalla A. Bastidas Hanlin Tang GNN 40 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 9 13 0 07 Jan 2019
Geometrization of deep networks for the interpretability of deep learning systems Xiao Dong Ling Zhou AI4CE 11 9 0 06 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 11 227 0 06 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi C. Alippi GNN 25 386 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 150 8,350 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 26 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 25 16 0 23 Dec 2018
RNNs Implicitly Implement Tensor Product Representations R. Thomas McCoy Tal Linzen Ewan Dunbar P. Smolensky 41 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 28 5,397 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 14 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 11 3 0 13 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 27 1,319 0 11 Dec 2018
Modelling Identity Rules with Neural Networks Tillman Weyde R. Kopparti 11 9 0 06 Dec 2018
Auto-Encoding Scene Graphs for Image Captioning Xu Yang Kaihua Tang Hanwang Zhang Jianfei Cai 18 692 0 06 Dec 2018
Spatio-Temporal Action Graph Networks Roei Herzig Elad Levi Huijuan Xu Hang Gao Eli Brosh Xiaolong Wang Amir Globerson Trevor Darrell GNN 16 20 0 04 Dec 2018
That's Mine! Learning Ownership Relations and Norms for Robots Zong Xuan Tan Jake Brawer B. Scassellati 13 11 0 02 Dec 2018
Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects Hila Levi S. Ullman ObjD 20 14 0 29 Nov 2018
Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking Xiao Wang Chenglong Li Rui Yang Tianzhu Zhang Jin Tang B. Luo 27 30 0 25 Nov 2018
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules Boris Knyazev Xiao Lin Mohamed R. Amer Graham W. Taylor GNN 18 31 0 23 Nov 2018
Contextualized Non-local Neural Networks for Sequence Learning Pengfei Liu Shuaichen Chang Xuanjing Huang Jian Tang Jackie C.K. Cheung 6 47 0 21 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 25 392 0 19 Nov 2018
Uncertainty quantification of molecular property prediction using Bayesian neural network models Seongok Ryu Yongchan Kwon W. Kim BDL 13 2 0 19 Nov 2018
Hierarchical Bipartite Graph Convolution Networks Marcel Nassar GNN 10 18 0 17 Nov 2018
Data-Efficient Graph Embedding Learning for PCB Component Detection Chia-Wen Kuo Jacob Ashmore David Huggins Z. Kira 13 47 0 16 Nov 2018
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning R. Ooi Chao-Han Huck Yang Pin-Yu Chen V. Eguíluz N. Kiani Hector Zenil D. Gómez-Cabrero Jesper N. Tegnér 14 1 0 14 Nov 2018
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks Guillaume Jaume Behzad Bozorgtabar H. K. Ekenel Jean-Philippe Thiran M. Gabrani 16 2 0 09 Nov 2018
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties David Tellez G. Litjens J. A. van der Laak R. Tavenard F. Ciompi OT 15 121 0 07 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Yun Liang 13 188 0 05 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lió GNN 17 257 0 03 Nov 2018
Modeling Attention Flow on Graphs Xiaoran Xu Songpeng Zu Chengliang Gao Yuan Zhang Wei Feng GNN 15 11 0 01 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 16 169 0 29 Oct 2018
Deep learning long-range information in undirected graphs with wave networks Matthew K. Matlock Arghya Datta N. Dang Kevin Jiang S. Joshua Swamidass GNN 20 15 0 29 Oct 2018
Learning sparse relational transition models Victoria Xia Zi Wang L. Kaelbling 14 23 0 26 Oct 2018
Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning Kun Wang WaiChing Sun 13 111 0 24 Oct 2018
Streaming Graph Neural Networks Yao Ma Ziyi Guo Z. Ren Eric Zhao Jiliang Tang Dawei Yin GNN 11 236 0 24 Oct 2018