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2025 ICML ICML 2025

A Recipe for Causal Graph Regression: Confounding Effects Revisited

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Knowledge & Reasoning

Authors

Yujia Yin, Tianyi Qu, Zihao Wang, Yifan Chen

Topics

Machine Learning > Core Methods > Regression Knowledge & Reasoning > Representation > Knowledge Graphs Knowledge & Reasoning > Reasoning > Causal Inference

Keywords

contrastive learning regression task confounding effect out of distribution causal graph learning graph-level regression
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