519 citations · 1.4k across the 30 of their papers we have counts for
5 papers · 1 filter
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Xiao Wang, Deyu Bo, Chuan Shi +3
Heterogeneous graphs (HGs) also known as heterogeneous information networks have become ubiquitous in real-world scenarios; therefore, HG embedding, which aims to learn representat…
Heterogeneous Graph Neural Network for Recommendation
Jinghan Shi, Houye Ji, Chuan Shi +3
The prosperous development of e-commerce has spawned diverse recommendation systems. As a matter of fact, there exist rich and complex interactions among various types of nodes in…
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang, Meiqi Zhu, Deyu Bo +3
Graph Convolutional Networks (GCNs) have gained great popularity in tackling various analytics tasks on graph and network data. However, some recent studies raise concerns about wh…
Decorrelated Clustering with Data Selection Bias
Xiao Wang, Shaohua Fan, Kun Kuang +3
Most of existing clustering algorithms are proposed without considering the selection bias in data. In many real applications, however, one cannot guarantee the data is unbiased. S…
Structural Deep Clustering Network
Deyu Bo, Xiao Wang, Chuan Shi +3
Clustering is a fundamental task in data analysis. Recently, deep clustering, which derives inspiration primarily from deep learning approaches, achieves state-of-the-art performan…