Abstract: Knowledge graph reasoning (KGR) seeks to infer new factual triples from existing knowledge graphs (KGs). Recent methods have unified transductive and inductive reasoning by learning ...
Abstract: Vulnerability detection in source code has been a focal point of research in recent years. Traditional rule-based methods fail to identify complex and unknown vulnerabilities, leading to ...
This is the code repository for [Paper]: "Learning Graph Representation via Graph Entropy Maximization (ICML 2024)". GeMax is an approximation method leveraging orthonormal representation for graph ...
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