Introducing Diminutive Causal Structure into Graph Representation
Learning

Introducing Diminutive Causal Structure into Graph Representation Learning

13 June 2024

Hang Gao

Jiangmeng Li

Changwen Zheng

Papers citing "Introducing Diminutive Causal Structure into Graph Representation Learning"

10 / 10 papers shown

Title
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 24 2 0 19 Dec 2023
Reinforcement Causal Structure Learning on Order Graph Dezhi Yang Guoxian Yu J. Wang Zhe Wu Maozu Guo BDL CML 24 16 0 22 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
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language Bing-Huang Su Dazhao Du Zhao-Qing Yang Yujie Zhou Jiangmeng Li Anyi Rao Haoran Sun Zhiwu Lu Ji-Rong Wen 42 107 0 12 Sep 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification Han Yue Chunhui Zhang Chuxu Zhang Hongfu Liu 27 31 0 19 May 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 89 222 0 30 Jan 2022
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 87 554 0 04 Jan 2021
Deep Graph Generators: A Survey Faezeh Faez Yassaman Ommi M. Baghshah Hamid R. Rabiee GNN AI4CE 37 57 0 31 Dec 2020
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 590 0 31 Dec 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 898 0 02 Mar 2020