Graph Classification via Reference Distribution Learning: Theory and Practice

21 August 2024

Papers citing "Graph Classification via Reference Distribution Learning: Theory and Practice"

24 / 24 papers shown

Title
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 55 76 0 26 Jun 2022
Weisfeiler-Lehman meets Gromov-Wasserstein Samantha Chen Sunhyuk Lim Facundo Mémoli Qingsong Wang Yusu Wang CoGe 52 18 0 05 Feb 2022
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 76 476 0 10 Jun 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Xiwei Xu Philip S. Yu SSL 103 566 0 27 Feb 2021
Online Graph Dictionary Learning Cédric Vincent-Cuaz Titouan Vayer Rémi Flamary Marco Corneli Nicolas Courty 48 46 0 12 Feb 2021
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao R. Urtasun R. Zemel 55 90 0 14 Dec 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 233 820 0 16 Jul 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 303 2,730 0 02 May 2020
Generalization and Representational Limits of Graph Neural Networks Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 94 313 0 14 Feb 2020
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations Ekagra Ranjan Soumya Sanyal Partha P. Talukdar GNN 165 333 0 18 Nov 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 143 862 0 31 Jul 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 118 579 0 27 May 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 238 7,642 0 01 Oct 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 63 273 0 23 May 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 217 2,147 0 01 Mar 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 476 20,138 0 30 Oct 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 202 1,217 0 26 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 501 15,232 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 593 7,443 0 04 Apr 2017
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks S. Ktena Sarah Parisot Enzo Ferrante Martin Rajchl M. J. Lee Ben Glocker Daniel Rueckert GNN 155 194 0 07 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 617 29,051 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 342 7,650 0 30 Jun 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 135 2,154 0 17 May 2016
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 212 4,259 0 04 Jun 2013