2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2023★ 2 cited
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks
Zhizhi Yu, Di Jin, Cuiying Huo +5
Social Internet of Things (SIoT), a promising and emerging paradigm that injects the notion of social networking into smart objects (i.e., things), paving the way for the next gene…
cs.LG2023★ 1 cited
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
Nasrin Shabani, Jia Wu, Amin Beheshti +5
As large-scale graphs become more widespread, more and more computational challenges with extracting, processing, and interpreting large graph data are being exposed. It is therefo…
cs.SI2022
VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily
Fengzhao Shi, Ren Li, Yanan Cao +5
Graph Neural Networks (GNNs) have achieved remarkable success in diverse real-world applications. Traditional GNNs are designed based on homophily, which leads to poor performance…