TUDataset: A collection of benchmark datasets for learning with graphs

TUDataset: A collection of benchmark datasets for learning with graphs

16 July 2020

Christopher Morris

Nils M. Kriege

Kristian Kersting

Papers citing "TUDataset: A collection of benchmark datasets for learning with graphs"

19 / 119 papers shown

Title
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric P. Xing Xiaodan Liang 16 86 0 17 Jun 2021
Learning to Pool in Graph Neural Networks for Extrapolation Jihoon Ko Taehyung Kwon Kijung Shin Juho Lee 16 6 0 11 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 16 447 0 10 Jun 2021
Breaking the Limits of Message Passing Graph Neural Networks M. Balcilar Pierre Héroux Benoit Gaüzère Pascal Vasseur Sébastien Adam P. Honeine 13 121 0 08 Jun 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks Jing Xu Minhui Xue Xue S. Picek 20 74 0 08 Apr 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 31 108 0 08 Mar 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks Cristian Bodnar Fabrizio Frasca Yu Guang Wang N. Otter Guido Montúfar Pietro Lió M. Bronstein 25 247 0 04 Mar 2021
Topological Graph Neural Networks Max Horn E. Brouwer Michael Moor Yves Moreau Bastian Alexander Rieck Karsten M. Borgwardt AI4CE 25 90 0 15 Feb 2021
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights Lingxiao Zhao L. Akoglu 25 65 0 23 Dec 2020
Learning Graphons via Structured Gromov-Wasserstein Barycenters Hongteng Xu Dixin Luo Lawrence Carin H. Zha 44 28 0 10 Dec 2020
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space Jianming Huang Zhongxi Fang Hiroyuki Kasai 13 19 0 07 Dec 2020
Graph Kernels: State-of-the-Art and Future Challenges Karsten M. Borgwardt Elisabetta Ghisu Felipe Llinares-López Leslie O’Bray Bastian Alexander Rieck AI4TS 18 100 0 07 Nov 2020
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 157 123 0 17 Oct 2020
Contrastive Learning with Hard Negative Samples Joshua Robinson Ching-Yao Chuang S. Sra Stefanie Jegelka SSL 14 759 0 09 Oct 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 25 213 0 15 Jul 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 189 744 0 03 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,941 0 09 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,332 0 12 Feb 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,811 0 25 Nov 2016