2 papers
cs.AI2021
Optimizing Graph Transformer Networks with Graph-based Techniques
Loc Hoang, Udit Agarwal, Gurbinder Gill +4
Graph transformer networks (GTN) are a variant of graph convolutional networks (GCN) that are targeted to heterogeneous graphs in which nodes and edges have associated type informa…
cs.LG2020
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure
Islam Akef Ebeid, Majdi Hassan, Tingyi Wanyan +3
Knowledge Graphs have been one of the fundamental methods for integrating heterogeneous data sources. Integrating heterogeneous data sources is crucial, especially in the biomedica…