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07/18/2023
Rumor Detection with Diverse Counterfactual Evidence
The growth in social media has exacerbated the threat of fake news to in...
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03/27/2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization
Out-of-distribution (OOD) generalization is an important issue for Graph...
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06/19/2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization
This paper focuses on out-of-distribution generalization on graphs where...
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05/20/2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Deep graph learning has achieved remarkable progresses in both business ...
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12/18/2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck
Subgraph recognition aims at discovering a compressed substructure of a ...
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12/18/2021
Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows
As Graph Neural Networks (GNNs) are widely adopted in digital pathology,...
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03/20/2021
Recognizing Predictive Substructures with Subgraph Information Bottleneck
The emergence of Graph Convolutional Network (GCN) has greatly boosted t...
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10/12/2020
Graph Information Bottleneck for Subgraph Recognition
Given the input graph and its label/property, several key problems of gr...
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04/20/2020
