3 citations · 3 across the 2 of their papers we have counts for
2 papers
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…