Title
AutoGL: A Library for Automated Graph Learning Ziwei Zhang Yijian Qin Zeyang Zhang Chaoyu Guan Jie Cai ... Beini Xie Yang Yao Yipeng Zhang Xin Eric Wang Wenwu Zhu 111 30 0 11 Apr 2021
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks Alice Gatti Zhixiong Hu Tess E. Smidt E. Ng P. Ghysels 48 9 0 08 Apr 2021
Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision Mehmet Özgür Türkoglu Eric Brachmann Konrad Schindler Gabriel J. Brostow Áron Monszpart 70 40 0 06 Apr 2021
Probabilistic Programming Bots in Intuitive Physics Game Play Fahad Alhasoun Sarah Alnegheimish J. Tenenbaum 37 1 0 05 Apr 2021
Graph Generative Models for Fast Detector Simulations in High Energy Physics A. Hariri Darya Dyachkova Sergei Gleyzer AI4CE 63 6 0 05 Apr 2021
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems J. Oren Chana Ross Maksym Lefarov Felix Richter Ayal Taitler Zohar Feldman Christian Daniel Dotan Di Castro OffRL 70 22 0 04 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 103 101 0 03 Apr 2021
Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation Karl Stelzner Kristian Kersting Adam R. Kosiorek 140 108 0 02 Apr 2021
Deep Learning of Conjugate Mappings J. Bramburger S. Patterson J. Nathan Kutz 75 15 0 01 Apr 2021
Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections Zhenzhang Ye Tarun Yenamandra Florian Bernard Daniel Cremers 3DPC 3DH 3DV 53 7 0 31 Mar 2021
Charged particle tracking via edge-classifying interaction networks G. Dezoort S. Thais Javier Mauricio Duarte Vesal Razavimaleki M. Atkinson I. Ojalvo Mark S. Neubauer P. Elmer 88 49 0 30 Mar 2021
Unified Graph Structured Models for Video Understanding Anurag Arnab Chen Sun Cordelia Schmid 125 46 0 29 Mar 2021
Understanding Robustness of Transformers for Image Classification Srinadh Bhojanapalli Ayan Chakrabarti Daniel Glasner Daliang Li Thomas Unterthiner Andreas Veit ViT 116 392 0 26 Mar 2021
Beyond permutation equivariance in graph networks E. Slade Francesco Farina 62 3 0 25 Mar 2021
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture Ryan Kortvelesy Amanda Prorok 96 24 0 24 Mar 2021
PAC-learning gains of Turing machines over circuits and neural networks Brieuc Pinon Raphaël Jungers Jean-Charles Delvenne AI4CE 33 1 0 23 Mar 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu Youzhi Luo Limei Wang Yaochen Xie Haonan Yuan ... Haoran Liu Cong Fu Bora Oztekin Xuan Zhang Shuiwang Ji GNN 89 121 0 23 Mar 2021
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification Antonio Carta Andrea Cossu Federico Errica D. Bacciu GNN 81 14 0 22 Mar 2021
Language-Agnostic Representation Learning of Source Code from Structure and Context Daniel Zügner Tobias Kirschstein Michele Catasta J. Leskovec Stephan Günnemann 78 121 0 21 Mar 2021
Triplet-Watershed for Hyperspectral Image Classification Aditya Challa Sravan Danda B. Sagar Laurent Najman 47 5 0 17 Mar 2021
Graph Convolutional Network for Swahili News Classification Alexandros Kastanos Tyler Martin GNN 66 3 0 16 Mar 2021
Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks Francesco Fusco Bradley Eck Robert Gormally Mark Purcell Seshu Tirupathi 43 14 0 12 Mar 2021
Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling R. Kopparti Tillman Weyde 58 0 0 10 Mar 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 86 105 0 10 Mar 2021
Learning to Optimize DAG Scheduling in Heterogeneous Environment Jinhong Luo Yunfan Zhou Xijun Li Mingxuan Yuan Jianguo Yao Jia Zeng 40 17 0 09 Mar 2021
Learning Connectivity for Data Distribution in Robot Teams Ekaterina V. Tolstaya Landon Butler Daniel Mox James Paulos Vijay Kumar Alejandro Ribeiro 126 10 0 08 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 138 110 0 08 Mar 2021
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification Julian Busch Anton Kocheturov Volker Tresp Thomas Seidl 88 49 0 05 Mar 2021
Multi-modal anticipation of stochastic trajectories in a dynamic environment with Conditional Variational Autoencoders Albert Dulian J. Murray 53 4 0 05 Mar 2021
Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network Yonghong Luo Chao Lu Lipeng Zhu Jie Song 64 58 0 05 Mar 2021
Causal Attention for Vision-Language Tasks Xu Yang Hanwang Zhang Guojun Qi Jianfei Cai CML 101 157 0 05 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 147 305 0 03 Mar 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics Anirudh Goyal Aniket Didolkar Nan Rosemary Ke Charles Blundell Philippe Beaudoin N. Heess Michael C. Mozer Yoshua Bengio OCL 131 86 0 02 Mar 2021
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook Eren Kurshan Honda Shen Haojie Yu GNN FaML 84 28 0 02 Mar 2021
Graph-Time Convolutional Neural Networks Elvin Isufi Gabriele Mazzola GNN AI4TS 55 15 0 02 Mar 2021
Exploiting latent representation of sparse semantic layers for improved short-term motion prediction with Capsule Networks Albert Dulian J. Murray 3DPC 32 3 0 02 Mar 2021
Reinforcement Learning for Adaptive Mesh Refinement Jiachen Yang T. Dzanic Brenden K. Petersen Junpei Kudo K. Mittal ... T. Zhao H. Zha T. Kolev Robert W. Anderson Daniel Faissol AI4CE 54 47 0 01 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 133 114 0 01 Mar 2021
Generative Adversarial Transformers Drew A. Hudson C. L. Zitnick ViT 131 182 0 01 Mar 2021
A Biased Graph Neural Network Sampler with Near-Optimal Regret Qingru Zhang David Wipf Quan Gan Le Song 129 24 0 01 Mar 2021
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing Charlie Blake Vitaly Kurin Maximilian Igl Shimon Whiteson AI4CE 98 13 0 01 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 134 17 0 01 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 109 87 0 01 Mar 2021
Learning Symbolic Operators for Task and Motion Planning Tom Silver Rohan Chitnis J. Tenenbaum L. Kaelbling Tomas Lozano-Perez 133 84 0 28 Feb 2021
Iterative SE(3)-Transformers F. Fuchs E. Wagstaff Justas Dauparas Ingmar Posner 64 17 0 26 Feb 2021
Efficient and Interpretable Robot Manipulation with Graph Neural Networks Yixin Lin Austin S. Wang Eric Undersander Akshara Rai LM&Ro 160 44 0 25 Feb 2021
Stochastic Aggregation in Graph Neural Networks Yuanqing Wang Theofanis Karaletsos 46 6 0 25 Feb 2021
Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience Nicholas Watters J. Tenenbaum M. Jazayeri GP 48 3 0 25 Feb 2021
Graphfool: Targeted Label Adversarial Attack on Graph Embedding Jinyin Chen Xiang Lin Dunjie Zhang Haibin Zheng Guohan Huang Hui Xiong Xiang Lin AAML 79 3 0 24 Feb 2021
Abelian Neural Networks Kenshi Abe Takanori Maehara Issei Sato 45 2 0 24 Feb 2021