Understanding Negative Sampling in Graph Representation Learning

20 May 2020Zhen YangMing DingChang ZhouHongxia YangJingren ZhouJie Tang

Graph representation learning has been extensively studied in recent years. Despite its potential in generating continuous embeddings for various networks, both the effectiveness and efficiency to infer high-quality representations toward large corpus of nodes are still challenging... (read more)

PDF Abstract

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.