126 citations · 241 across the 7 of their papers we have counts for
5 papers · 1 filter
Denoising individual bias for a fairer binary submatrix detection
Changlin Wan, Wennan Chang, Tong Zhao +2
Low rank representation of binary matrix is powerful in disentangling sparse individual-attribute associations, and has received wide applications. Existing binary matrix factoriza…
Geometric All-Way Boolean Tensor Decomposition
Changlin Wan, Wennan Chang, Tong Zhao +2
Boolean tensor has been broadly utilized in representing high dimensional logical data collected on spatial, temporal and/or other relational domains. Boolean Tensor Decomposition…
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals
Namyong Park, Andrey Kan, Xin Luna Dong +2
Given multiple input signals, how can we infer node importance in a knowledge graph (KG)? Node importance estimation is a crucial and challenging task that can benefit a lot of app…
Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation
Changlin Wan, Wennan Chang, Tong Zhao +3
Boolean matrix has been used to represent digital information in many fields, including bank transaction, crime records, natural language processing, protein-protein interaction, e…
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
Namyong Park, Andrey Kan, Xin Luna Dong +2
How can we estimate the importance of nodes in a knowledge graph (KG)? A KG is a multi-relational graph that has proven valuable for many tasks including question answering and sem…