Ruijie Wang

Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion

2022 · Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Previous hypergraph expansions are solely carried out on either vertex level or hyperedge level, thereby missing the symmetric nature of data co-occurrence, and resulting in information loss. To address the problem, this paper treats vertices …

Few-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks

2025

Knowledge graphs (KGs) are essential in many AI applications but often suffer from incompleteness, limiting their utility. Many relations in KGs have only a few examples, making it challenging to train accurate models. Few-shot learning …