30 citations · 68 across the 3 of their papers we have counts for
4 papers
Deep Active Learning for Anchor User Prediction
Anfeng Cheng, Chuan Zhou, Hong Yang +4
Predicting pairs of anchor users plays an important role in the cross-network analysis. Due to the expensive costs of labeling anchor users for training prediction models, we consi…
Improving Knowledge Graph Embedding Using Simple Constraints
Boyang Ding, Quan Wang, Bin Wang +1
Embedding knowledge graphs (KGs) into continuous vector spaces is a focus of current research. Early works performed this task via simple models developed over KG triples. Recent a…
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval
Jing Yu, Yuhang Lu, Zengchang Qin +4
Cross-modal information retrieval aims to find heterogeneous data of various modalities from a given query of one modality. The main challenge is to map different modalities into a…
Knowledge Graph Embedding with Iterative Guidance from Soft Rules
Shu Guo, Quan Wang, Lihong Wang +2
Embedding knowledge graphs (KGs) into continuous vector spaces is a focus of current research. Combining such an embedding model with logic rules has recently attracted increasing…