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Benchmarking Graph Neural Networks

2 March 2020

Vijay Prakash Dwivedi

Papers citing "Benchmarking Graph Neural Networks"

50 / 622 papers shown

Title
A Fair Comparison of Graph Neural Networks for Graph Classification Federico Errica Marco Podda D. Bacciu Alessio Micheli FaML 130 449 0 20 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 544 42,591 0 03 Dec 2019
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design J. Dean 37 79 0 13 Nov 2019
DeepGCNs: Making GCNs Go as Deep as CNNs Ge Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 83 174 0 15 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 60 27 0 01 Oct 2019
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 259 86 0 12 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng Zhang AI4CE GNN 286 759 0 03 Sep 2019
What graph neural networks cannot learn: depth vs width Andreas Loukas GNN 84 301 0 06 Jul 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation Marc Brockschmidt 83 139 0 28 Jun 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 93 497 0 11 Jun 2019
Redundancy-Free Computation Graphs for Graph Neural Networks Zhihao Jia Sina Lin Rex Ying Jiaxuan You J. Leskovec Alexander Aiken GNN 50 11 0 09 Jun 2019
A Two-Step Graph Convolutional Decoder for Molecule Generation Xavier Bresson T. Laurent 67 61 0 08 Jun 2019
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem Chaitanya K. Joshi T. Laurent Xavier Bresson GNN 102 374 0 04 Jun 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 93 282 0 29 May 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 133 582 0 27 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 130 434 0 23 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 150 1,275 0 20 May 2019
On Graph Classification Networks, Datasets and Baselines Enxhell Luzhnica Ben Day Pietro Lio GNN 61 19 0 12 May 2019
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification Ting-Li Chen Song Bian Yizhou Sun 97 88 0 11 May 2019
Understanding Attention and Generalization in Graph Neural Networks Boris Knyazev Graham W. Taylor Mohamed R. Amer GNN 166 342 0 08 May 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Alex Jinpeng Wang Yada Pruksachatkun Nikita Nangia Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 274 2,323 0 02 May 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 184 1,126 0 17 Apr 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 129 261 0 06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 237 4,364 0 06 Mar 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 104 389 0 23 Feb 2019
Fake News Detection on Social Media using Geometric Deep Learning Federico Monti Fabrizio Frasca D. Eynard Damon Mannion M. Bronstein GNN 96 469 0 10 Feb 2019
On the Universality of Invariant Networks Haggai Maron Ethan Fetaya Nimrod Segol Y. Lipman OOD 158 240 0 27 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 783 8,566 0 03 Jan 2019
Invariant and Equivariant Graph Networks Haggai Maron Heli Ben-Hamu Nadav Shamir Y. Lipman 143 507 0 24 Dec 2018
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 155 1,392 0 15 Nov 2018
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 168 1,365 0 14 Nov 2018
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search Zhuwen Li Qifeng Chen V. Koltun GNN 94 476 0 25 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 194 1,643 0 04 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 90 646 0 03 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 257 7,695 0 01 Oct 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 310 2,154 0 22 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 518 1,990 0 09 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 295 902 0 07 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 266 3,550 0 06 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 769 3,129 0 04 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 218 602 0 04 Jun 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 125 1,223 0 22 Mar 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 354 1,369 0 12 Feb 2018
Residual Gated Graph ConvNets Xavier Bresson T. Laurent GNN 124 485 0 20 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,233 0 30 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 786 132,363 0 12 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks Federico Monti M. Bronstein Xavier Bresson GNN 191 522 0 22 Apr 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 122 1,473 0 05 Apr 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 598 7,488 0 04 Apr 2017