How Interpretable Are Interpretable Graph Neural Networks?

How Interpretable Are Interpretable Graph Neural Networks?

12 June 2024

Yongqiang Chen

Yatao Bian

Papers citing "How Interpretable Are Interpretable Graph Neural Networks?"

15 / 15 papers shown

Title
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang R. He 34 27 0 27 Mar 2023
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks Sadegh Mahdavi Kevin Swersky Thomas Kipf Milad Hashemi Christos Thrampoulidis Renjie Liao LRM OOD NAI 38 26 0 01 Nov 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 27 30 0 21 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 84 59 0 07 Oct 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 70 37 0 30 May 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 89 170 0 30 Jan 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji Lu Zhang Jiaxiang Wu Bing Wu Long-Kai Huang ... Ping Luo Shuigeng Zhou Junzhou Huang Peilin Zhao Yatao Bian OOD 54 73 0 24 Jan 2022
Learning ground states of quantum Hamiltonians with graph networks Dmitrii Kochkov Tobias Pfaff Alvaro Sanchez-Gonzalez Peter W. Battaglia B. Clark 31 26 0 12 Oct 2021
A Meta-Learning Approach for Training Explainable Graph Neural Networks Indro Spinelli Simone Scardapane A. Uncini 29 19 0 20 Sep 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 159 463 0 31 Dec 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 88 222 0 24 Oct 2020
No Free Lunch for Approximate MCMC J. Johndrow Natesh S. Pillai Aaron Smith 51 18 0 23 Oct 2020
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 128 112 0 17 Oct 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 197 0 22 Mar 2020
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 75 5,262 0 03 Nov 2016