Summary of Stealing Training Graphs From Graph Neural Networks, by Minhua Lin et al.
Stealing Training Graphs from Graph Neural Networksby Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia,…
Stealing Training Graphs from Graph Neural Networksby Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia,…
Training a Label-Noise-Resistant GNN with Reduced Complexityby Rui Zhao, Bin Shi, Zhiming Liang, Jianfei Ruan,…
Boolean-aware Boolean Circuit Classification: A Comprehensive Study on Graph Neural Networkby Liwei Ni, Xinquan Li,…
DuSEGO: Dual Second-order Equivariant Graph Ordinary Differential Equationby Yingxu Wang, Nan Yin, Mingyan Xiao, Xinhao…
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learningby Sanggeon Yun, Ryozo…
Federated Graph Learning with Graphless Clientsby Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen…
Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarksby Azmine…
Is Graph Convolution Always Beneficial For Every Feature?by Yilun Zheng, Xiang Li, Sitao Luan, Xiaojiang…
Rethinking Structure Learning For Graph Neural Networksby Yilun Zheng, Zhuofan Zhang, Ziming Wang, Xiang Li,…
Financial Fraud Detection using Jump-Attentive Graph Neural Networksby Prashank KadamFirst submitted to arxiv on: 7…