GL2vec: Graph Embedding Enriched by Line Graphs with Edge Features

ICONIP 2019 2020 Hong ChenHisashi Koga

Recently, several techniques to learn the embedding for a given graph dataset have been proposed. Among them, Graph2vec is significant in that it unsupervisedly learns the embedding of entire graphs which is useful for graph classification... (read more)


Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.