2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.SI2021
Learning Large-scale Network Embedding from Representative Subgraph
Junsheng Kong, Weizhao Li, Ben Liao +6
We study the problem of large-scale network embedding, which aims to learn low-dimensional latent representations for network mining applications. Recent research in the field of n…
cs.CL2021★ 2 cited
Fast Extraction of Word Embedding from Q-contexts
Junsheng Kong, Weizhao Li, Zeyi Liu +5
The notion of word embedding plays a fundamental role in natural language processing (NLP). However, pre-training word embedding for very large-scale vocabulary is computationally…