45 citations · 142 across the 10 of their papers we have counts for
6 papers · 1 filter
All in One: Multi-task Prompting for Graph Neural Networks
Xiangguo Sun, Hong Cheng, Jia Li +2
Recently, ''pre-training and fine-tuning'' has been adopted as a standard workflow for many graph tasks since it can take general graph knowledge to relieve the lack of graph annot…
Self-supervised Hypergraph Representation Learning for Sociological Analysis
Xiangguo Sun, Hong Cheng, Bo Liu +4
Modern sociology has profoundly uncovered many convincing social criteria for behavioural analysis. Unfortunately, many of them are too subjective to be measured and presented in o…
Hyperbolic Hypergraphs for Sequential Recommendation
Yicong Li, Hongxu Chen, Xiangguo Sun +5
Hypergraphs have been becoming a popular choice to model complex, non-pairwise, and higher-order interactions for recommender system. However, compared with traditional graph-based…
Temporal Meta-path Guided Explainable Recommendation
Hongxu Chen, Yicong Li, Xiangguo Sun +2
This paper utilizes well-designed item-item path modelling between consecutive items with attention mechanisms to sequentially model dynamic user-item evolutions on dynamic knowled…
Heterogeneous Hypergraph Embedding for Graph Classification
Xiangguo Sun, Hongzhi Yin, Bo Liu +4
Recently, graph neural networks have been widely used for network embedding because of their prominent performance in pairwise relationship learning. In the real world, a more natu…
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction
Hongxu Chen, Hongzhi Yin, Xiangguo Sun +3
Cross-platform account matching plays a significant role in social network analytics, and is beneficial for a wide range of applications. However, existing methods either heavily r…