Ruiyi Fang

Structure-Preserving Graph Representation Learning

2022 · 2022 IEEE International Conference on Data Mining (ICDM)

Though graph representation learning (GRL) has made significant progress, it is still a challenge to extract and embed the rich topological structure and feature information in an adequate way. Most existing methods focus on local …

On the Benefits of Attribute-Driven Graph Domain Adaptation

2025 · arXiv (Cornell University)

Graph Domain Adaptation (GDA) addresses a pressing challenge in cross-network learning, particularly pertinent due to the absence of labeled data in real-world graph datasets. Recent studies attempted to learn domain invariant representations by eliminating structural …