16 citations · 35 across the 5 of their papers we have counts for
5 papers
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks
Cheng Yang, Xumeng Gong, Chuan Shi +1
Recent years have witnessed the success of heterogeneous graph neural networks (HGNNs) in modeling heterogeneous information networks (HINs). In this paper, we focus on the benchma…
Abnormal Event Detection via Hypergraph Contrastive Learning
Bo Yan, Cheng Yang, Chuan Shi +2
Abnormal event detection, which refers to mining unusual interactions among involved entities, plays an important role in many real applications. Previous works mostly over-simplif…
Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo, Chuan Shi, Lele Wang +1
Spectral graph neural networks (GNNs) learn graph representations via spectral-domain graph convolutions. However, most existing spectral graph filters are scalar-to-scalar functio…
A Survey on Spectral Graph Neural Networks
Deyu Bo, Xiao Wang, Yang Liu +3
Graph neural networks (GNNs) have attracted considerable attention from the research community. It is well established that GNNs are usually roughly divided into spatial and spectr…
Expenditure Aware Rating Prediction for Recommendation
Chuan Shi, Bowei He, Menghao Zhang +2
The rating score prediction is widely studied in recommender system, which predicts the rating scores of users on items through making use of the user-item interaction information.…