A Practical, Progressively-Expressive GNN

18 October 2022

Papers citing "A Practical, Progressively-Expressive GNN"

49 / 49 papers shown

Title
PF-GNN: Differentiable particle filtering based approximation of universal graph representations Mohammed Haroon Dupty Yanfei Dong W. Lee 43 13 0 31 Jan 2024
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 65 195 0 06 Jul 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 67 57 0 22 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca Beatrice Bevilacqua Michael M. Bronstein Haggai Maron 67 126 0 22 Jun 2022
Expressiveness and Approximation Properties of Graph Neural Networks Floris Geerts Juan L. Reutter 42 66 0 10 Apr 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 69 40 0 25 Mar 2022
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping Francesco Di Giovanni B. Chamberlain Xiaowen Dong M. Bronstein 87 437 0 29 Nov 2021
Nested Graph Neural Networks Muhan Zhang Pan Li 61 166 0 25 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao Wei Jin Leman Akoglu Neil Shah GNN 56 163 0 07 Oct 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 88 179 0 06 Oct 2021
Weisfeiler and Lehman Go Cellular: CW Networks Cristian Bodnar Fabrizio Frasca N. Otter Yu Guang Wang Pietro Lio Guido Montúfar M. Bronstein GNN 48 232 0 23 Jun 2021
Breaking the Limits of Message Passing Graph Neural Networks M. Balcilar Pierre Héroux Benoit Gaüzère Pascal Vasseur Sébastien Adam P. Honeine 46 122 0 08 Jun 2021
The Logic of Graph Neural Networks Martin Grohe AI4CE 29 89 0 29 Apr 2021
Identity-aware Graph Neural Networks Jiaxuan You Jonathan M. Gomes-Selman Rex Ying J. Leskovec 37 251 0 25 Jan 2021
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 117 1,202 0 04 Nov 2020
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen Zhengdao Chen Joan Bruna 43 45 0 28 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Jiliang Tang Neil Shah AI4CE 79 176 0 05 Oct 2020
The Surprising Power of Graph Neural Networks with Random Node Initialization Ralph Abboud .Ismail .Ilkan Ceylan Martin Grohe Thomas Lukasiewicz 72 219 0 02 Oct 2020
The expressive power of kth-order invariant graph networks Floris Geerts 137 37 0 23 Jul 2020
Expressive Power of Invariant and Equivariant Graph Neural Networks Waïss Azizian Marc Lelarge 53 111 0 28 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 91 428 0 16 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 77 675 0 09 Jun 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 84 394 0 23 Apr 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lio Petar Velickovic GNN 55 659 0 12 Apr 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 258 172 0 09 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 290 929 0 02 Mar 2020
Generalization and Representational Limits of Graph Neural Networks Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 75 309 0 14 Feb 2020
Can Graph Neural Networks Count Substructures? Zhengdao Chen Lei Chen Soledad Villar Joan Bruna GNN 100 323 0 10 Feb 2020
Random Features Strengthen Graph Neural Networks Ryoma Sato M. Yamada H. Kashima GNN AAML 45 233 0 08 Feb 2020
PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao Leman Akoglu 48 505 0 26 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 65 1,090 0 07 Sep 2019
What graph neural networks cannot learn: depth vs width Andreas Loukas GNN 69 298 0 06 Jul 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 79 492 0 11 Jun 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 77 1,377 0 29 May 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 57 575 0 27 May 2019
Universal Invariant and Equivariant Graph Neural Networks Nicolas Keriven Gabriel Peyré 120 290 0 13 May 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 71 259 0 06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 155 4,289 0 06 Mar 2019
On the Universality of Invariant Networks Haggai Maron Ethan Fetaya Nimrod Segol Y. Lipman OOD 83 238 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 292 8,441 0 03 Jan 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 190 1,674 0 14 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 131 1,625 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 145 7,554 0 01 Oct 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 398 3,101 0 04 Jun 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 301 19,902 0 30 Oct 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 256 7,388 0 04 Apr 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 196 2,441 0 10 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 288 1,808 0 02 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 429 28,795 0 09 Sep 2016