Generative and Contrastive Paradigms Are Complementary for Graph
Self-Supervised Learning

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning

24 October 2023

Yuxiang Wang

Wentao Zhang

Jiawei Jiang

Papers citing "Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning"

6 / 6 papers shown

Title
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph Yuxiang Wang Xiao Yan Shiyu Jin Quanqing Xu Chuang Hu Yuanyuan Zhu Bo Du Jia Wu Jiawei Jiang 14 0 0 13 May 2025
CLDG: Contrastive Learning on Dynamic Graphs Yiming Xu Bin Shi Teng Ma Bo Dong Haoyi Zhou Qinghua Zheng 104 15 0 19 Dec 2024
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest Saket Gurukar Nikil Pancha Andrew Zhai Eric Kim Samson Hu Srinivas Parthasarathy Charles R. Rosenberg J. Leskovec 54 13 0 21 May 2022
Simple Contrastive Graph Clustering Yue Liu Xihong Yang Sihang Zhou Xinwang Liu GNN 36 109 0 11 May 2022
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Eli Chien Wei-Cheng Chang Cho-Jui Hsieh Hsiang-Fu Yu Jiong Zhang O. Milenkovic Inderjit S Dhillon 137 130 0 29 Oct 2021
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Yihang Yin Qingzhong Wang Siyu Huang Haoyi Xiong Xiang Zhang 35 141 0 21 Sep 2021