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Towards Neuron Attributions in Multi-Modal Large Language Models
EXGC: Bridging Efficiency and Explainability in Graph Condensation
Invariant Graph Learning for Causal Effect Estimation
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
Alleviating Structural Distribution Shift in Graph Anomaly Detection
LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction
Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum
Rumor Detection with Self-supervised Learning on Texts and Social Graph
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