Title
Learning Structured Communication for Multi-agent Reinforcement Learning Junjie Sheng Xiangfeng Wang Bo Jin Junchi Yan Wenhao Li Tsung-Hui Chang Jun Wang H. Zha 44 51 0 11 Feb 2020
Deep Graph Mapper: Seeing Graphs through the Neural Lens Cristian Bodnar Cătălina Cangea Pietro Lio 190 43 0 10 Feb 2020
Time Series Alignment with Global Invariances Titouan Vayer R. Tavenard Laetitia Chapel Nicolas Courty Rémi Flamary Yann Soullard AI4TS 91 17 0 10 Feb 2020
Supervised Learning on Relational Databases with Graph Neural Networks Milan Cvitkovic 73 44 0 06 Feb 2020
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks M. Rashid Hedvig Kjellström Yong Jae Lee WSOL GNN 138 46 0 04 Feb 2020
Structural Inductive Biases in Emergent Communication Agnieszka Słowik Abhinav Gupta William L. Hamilton M. Jamnik S. Holden C. Pal AI4CE 63 5 0 04 Feb 2020
Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification Xiaoxiao Li João Saúde 53 18 0 02 Feb 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Min Zhang Pekka Marttinen Philip S. Yu 316 2,015 0 02 Feb 2020
Goal-directed graph construction using reinforcement learning Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi 65 15 0 30 Jan 2020
Efficient Probabilistic Logic Reasoning with Graph Neural Networks Yuyu Zhang Xinshi Chen Yu’an Yang Arun Ramamurthy Yue Liu Yuan Qi Le Song AI4CE 159 111 0 29 Jan 2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories Andrea Banino Adria Puigdomenech Badia Raphael Köster Martin Chadwick V. Zambaldi Demis Hassabis Caswell Barry M. Botvinick D. Kumaran Charles Blundell KELM 84 35 0 29 Jan 2020
Characterizing and Understanding GCNs on GPU Yurui Lai Zhaodong Chen Lei Deng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie BDL GNN 69 64 0 28 Jan 2020
Deep Graph Matching Consensus Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 83 212 0 27 Jan 2020
Theoretically Expressive and Edge-aware Graph Learning Federico Errica D. Bacciu Alessio Micheli 43 6 0 24 Jan 2020
EdgeNets:Edge Varying Graph Neural Networks Elvin Isufi Fernando Gama Alejandro Ribeiro GNN 97 82 0 21 Jan 2020
Learning Compositional Neural Information Fusion for Human Parsing Wenguan Wang Zhijie Zhang Siyuan Qi Jianbing Shen Yanwei Pang Ling Shao 3DH 195 128 0 19 Jan 2020
Siamese Graph Neural Networks for Data Integration E. Krivosheev Mattia Atzeni Katsiaryna Mirylenka P. Scotton Fabio Casati GNN 48 13 0 17 Jan 2020
Node Masking: Making Graph Neural Networks Generalize and Scale Better Pushkar Mishra Aleksandra Piktus Gerard Goossen Fabrizio Silvestri AI4CE 68 14 0 17 Jan 2020
Relational State-Space Model for Stochastic Multi-Object Systems Fan Yang Ling Chen Fan Zhou Yusong Gao Wei Cao 82 8 0 13 Jan 2020
Tensor Graph Convolutional Networks for Text Classification Xien Liu Xinxin You Xiao Zhang Ji Wu Ping Lv GNN 64 254 0 12 Jan 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning Tailin Wu 121 1 0 11 Jan 2020
Heaps' law and Heaps functions in tagged texts: Evidences of their linguistic relevance A. Chacoma Damián H. Zanette 30 8 0 07 Jan 2020
Deep learning reveals hidden interactions in complex systems Seungwoong Ha Hawoong Jeong GNN 40 4 0 03 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 135 281 0 29 Dec 2019
Neural Subgraph Isomorphism Counting Xin Liu Haojie Pan Mutian He Yangqiu Song Xin Jiang Lifeng Shang GNN 84 79 0 25 Dec 2019
Multi-Graph Transformer for Free-Hand Sketch Recognition Peng Xu Chaitanya K. Joshi Xavier Bresson ViT 115 87 0 24 Dec 2019
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks Joanna Materzynska Tete Xiao Roei Herzig Huijuan Xu Xiaolong Wang Trevor Darrell CoGe 64 176 0 20 Dec 2019
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data Daniel Keysers Nathanael Scharli Nathan Scales Hylke Buisman Daniel Furrer ... Tibor Tihon Dmitry Tsarkov Tianlin Li Marc van Zee Olivier Bousquet CoGe 70 355 0 20 Dec 2019
An Attention-based Graph Neural Network for Heterogeneous Structural Learning Huiting Hong Hantao Guo Yucheng Lin Xiaoqing Yang Zang Li Jieping Ye 85 219 0 19 Dec 2019
Feature-wise change detection and robust indoor positioning using RANSAC-like approach Caifa Zhou 33 0 0 18 Dec 2019
Relational Mimic for Visual Adversarial Imitation Learning Lionel Blondé Yichuan Tang Jian Zhang Russ Webb 38 0 0 18 Dec 2019
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks Donsuk Lee Yiming Gu Jerrick Hoang Micol Marchetti-Bowick GNN 60 38 0 17 Dec 2019
SGVAE: Sequential Graph Variational Autoencoder Bowen Jing Ethan A. Chi Jillian Tang BDL 23 2 0 17 Dec 2019
Learning a Neural Solver for Multiple Object Tracking Guillem Brasó Laura Leal-Taixé VOT 106 402 0 16 Dec 2019
Knowledge-based Conversational Search Svitlana Vakulenko 59 13 0 14 Dec 2019
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction David Friede Jovita Lukasik Heiner Stuckenschmidt Margret Keuper GNN BDL DRL 27 8 0 11 Dec 2019
The Probabilistic Backbone of Data-Driven Complex Networks: An example in Climate C. E. Graafland J. Gutiérrez Juan M. López D. Pazó M. Rodríguez 42 10 0 08 Dec 2019
Clone Swarms: Learning to Predict and Control Multi-Robot Systems by Imitation Siyu Zhou Mariano Phielipp J. Sefair S. Walker H. B. Amor 59 15 0 05 Dec 2019
Combining Q-Learning and Search with Amortized Value Estimates Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez Tobias Pfaff T. Weber Lars Buesing Peter W. Battaglia OffRL 87 48 0 05 Dec 2019
Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction Fuyang Zhang Nelson Nauata Yasutaka Furukawa 3DV 110 58 0 04 Dec 2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication) Marek Rosa O. Afanasjeva Simon Andersson Joseph Davidson N. Guttenberg Petr Hlubucek Martin Poliak Jaroslav Vítků Jan Feyereisl 80 10 0 03 Dec 2019
Learning Domain-Independent Planning Heuristics with Hypergraph Networks William Shen Felipe W. Trevizan Sylvie Thiébaux 82 84 0 29 Nov 2019
Contrastive Learning of Structured World Models Thomas Kipf Elise van der Pol Max Welling OCL DRL 132 285 0 27 Nov 2019
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations Chen Wang Chengyuan Deng Vladimir A. Ivanov GNN DRL 41 6 0 27 Nov 2019
SuperGlue: Learning Feature Matching with Graph Neural Networks Paul-Edouard Sarlin Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich 3DPC OffRL 184 1,957 0 26 Nov 2019
On the Robustness of Deep Learning-predicted Contention Models for Network Calculus Fabien Geyer Steffen Bondorf OOD 198 8 0 24 Nov 2019
Robust Assessment of Real-World Adversarial Examples Brett A. Jefferson Carlos Ortiz Marrero AAML 29 4 0 24 Nov 2019
Discrete and Continuous Deep Residual Learning Over Graphs Pedro H. C. Avelar Anderson R. Tavares Marco Gori Luís C. Lamb GNN 67 20 0 21 Nov 2019
Graph Neural Ordinary Differential Equations Michael Poli Stefano Massaroli Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 160 163 0 18 Nov 2019
A Capsule Network-based Model for Learning Node Embeddings Dai Quoc Nguyen T. Nguyen Dat Quoc Nguyen Dinh Q. Phung GNN 51 10 0 12 Nov 2019