Clarify Confused Nodes via Separated Learning

4 June 2023

Papers citing "Clarify Confused Nodes via Separated Learning"

7 / 7 papers shown

Title
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection Songtao Peng Lei Wang Wu Shuai Hao Song Jiajun Zhou Shanqing Yu Qi Xuan 28 0 0 01 Apr 2025
Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision Chenxiang Jin Jiajun Zhou Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang 24 0 0 01 Aug 2024
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures Hao Song Jiacheng Yao Zhengxi Li Shaocong Xu Shibo Jin Jiajun Zhou Chenbo Fu Qi Xuan Shanqing Yu FedML 29 0 0 24 Mar 2024
Label-Wise Graph Convolutional Network for Heterophilic Graphs Enyan Dai Shijie Zhou Zhimeng Guo Suhang Wang 32 18 0 15 Oct 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 84 554 0 04 Jan 2021
Line Graph Neural Networks for Link Prediction Lei Cai Jundong Li Jie Wang Shuiwang Ji GNN 130 194 0 20 Oct 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020