activity
20112019
most citedPINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions

3 citations · 4 across the 4 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.LG2019★ 3 cited

PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions

Shupeng Gui, Xiangliang Zhang, Pan Zhong +5

Graph node embedding aims at learning a vector representation for all nodes given a graph. It is a central problem in many machine learning tasks (e.g., node classification, recomm…

cs.CL2019

Mimicking Human Process: Text Representation via Latent Semantic Clustering for Classification

Xiaoye Tan, Rui Yan, Chongyang Tao +1

Considering that words with different characteristic in the text have different importance for classification, grouping them together separately can strengthen the semantic express…