A Fair Comparison of Graph Neural Networks for Graph Classification

20 December 2019

Papers citing "A Fair Comparison of Graph Neural Networks for Graph Classification"

21 / 21 papers shown

Title
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements Haoyang Li Yongjun Xu C. Zhang Alexander Zhou Lei Chen Qing Li AI4CE 325 0 0 03 Jan 2025
Stealing Training Graphs from Graph Neural Networks Minhua Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 79 1 0 17 Nov 2024
PropEnc: A Property Encoder for Graph Neural Networks Anwar Said W. Abbas X. Koutsoukos 67 0 0 17 Sep 2024
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs Michael Scholkemper Xinyi Wu Ali Jadbabaie Michael T. Schaub 181 8 0 05 Jun 2024
Wasserstein Embedding for Graph Learning Soheil Kolouri Navid Naderializadeh Gustavo K. Rohde Heiko Hoffmann GNN 62 88 0 16 Jun 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 393 939 0 02 Mar 2020
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches Maurizio Ferrari Dacrema Paolo Cremonesi Dietmar Jannach 48 585 0 16 Jul 2019
On Graph Classification Networks, Datasets and Baselines Enxhell Luzhnica Ben Day Pietro Lio GNN 50 19 0 12 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 214 4,334 0 06 Mar 2019
On the Limitations of Representing Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Ingmar Posner Michael A. Osborne 115 164 0 25 Jan 2019
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 155 1,357 0 14 Nov 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 228 7,638 0 01 Oct 2018
Troubling Trends in Machine Learning Scholarship Zachary Chase Lipton Jacob Steinhardt 44 289 0 09 Jul 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 285 2,145 0 22 Jun 2018
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing D. Bacciu Federico Errica Alessio Micheli BDL GNN 60 73 0 27 May 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 79 1,929 0 27 Feb 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 466 15,218 0 07 Jun 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs M. Simonovsky N. Komodakis GNN 198 1,230 0 10 Apr 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 561 7,431 0 04 Apr 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 384 2,462 0 10 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 591 28,999 0 09 Sep 2016