Co-occurring keywords · papers mentioning both
Papers
Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning
AAAI 2026
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
ICLR 2025
Enhancing Graph Invariant Learning from a Negative Inference Perspective
ICML 2025
Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective
ICML 2025
Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks
ECCV 2024
Effect Generation Based on Causal Reasoning
EMNLP 2021