P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion

no code implementations • Findings (EMNLP) 2021 • Jingwen Xu, Jing Zhang, Xirui Ke, Yuxiao Dong, Hong Chen, Cuiping Li, Yongbin Liu

Its general process is to first encode the implicit relation of an entity pair and then match the relation of a query entity pair with the relations of the reference entity pairs.

Knowledge Graph Completion Relation

Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification

no code implementations • 4 Dec 2022 • Junchao Lin, Yuan Wan, Jingwen Xu, Xingchen Qi

However, recent studies have shown that GNNs are vulnerable to the complex underlying structure of the graph, making it necessary to learn comprehensive and robust graph structures for downstream tasks, rather than relying only on the raw graph structure.

Classification Node Classification