Learning Strong Graph Neural Networks with Weak Information

Learning Strong Graph Neural Networks with Weak Information

29 May 2023

Huan Liu

Papers citing "Learning Strong Graph Neural Networks with Weak Information"

7 / 7 papers shown

Title
A Generative Graph Contrastive Learning Model with Global Signal Xiaofan Wei Binyan Zhang 161 0 0 25 Apr 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification Zhixun Li Dingshuo Chen Tong Zhao Ziyu Zhao Hongrui Liu Qing Cui Jun Zhou Jeffrey Xu Yu SSL 105 0 0 10 Feb 2025
RIDA: A Robust Attack Framework on Incomplete Graphs Jianke Yu Hanchen Wang Chen Chen Xiaoyang Wang Wenjie Zhang Ying Zhang Ying Zhang Xijuan Liu GNN OOD AAML 41 1 0 25 Jul 2024
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection Junjun Pan Yixin Liu Yizhen Zheng Shirui Pan 37 18 0 18 Oct 2023
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 156 459 0 01 May 2021
Grale: Designing Networks for Graph Learning Jonathan J. Halcrow A. Mosoi Sam Ruth Bryan Perozzi GNN 65 47 0 23 Jul 2020