Changping Wang

RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Network embedding, aiming to project a network into a low-dimensional space, is increasingly becoming a focus of network research. Semi-supervised network embedding takes advantage of labeled data, and has shown promising performance. However, existing semi-supervised …

HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks

2022 · 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Recently, graph neural networks have shown the superiority of modeling the complex topological structures in heterogeneous network-based recommender systems. Due to the diverse interactions among nodes and abundant semantics emerging from diverse types of nodes …