Self-Supervised Graph Representation Learning via Global Context
Prediction

Self-Supervised Graph Representation Learning via Global Context Prediction

3 March 2020

Xiao-Ming Wu

Papers citing "Self-Supervised Graph Representation Learning via Global Context Prediction"

19 / 19 papers shown

Title
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning Zixu Wang Bingbing Xu Yige Yuan Huawei Shen Xueqi Cheng 34 0 0 07 May 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay Xinjian Zhao Wei Pang Xiangru Jian Yaoyao Xu Chaolong Ying Tianshu Yu 56 0 0 17 Jan 2025
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation Yunsheng Bai Atefeh Sohrabizadeh Zongyue Qin Ziniu Hu Yizhou Sun Jason Cong 26 1 0 18 May 2023
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation Yingxi Chen Siwei Qiang Mingming Ha Xiaolei Liu Shaoshuai Li Lingfeng Yuan Xiaobo Guo Zheng Hua Zhu 19 2 0 30 Nov 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 24 0 0 30 Jan 2022
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery Xiaoqi Wang Yingjie Cheng Yaning Yang Yue Yu Fei Li Shaoliang Peng 23 41 0 12 Jan 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Enyan Dai Wei-dong Jin Hui Liu Suhang Wang NoLa 38 92 0 01 Jan 2022
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 37 42 0 24 Aug 2021
Adaptive Transfer Learning on Graph Neural Networks Xueting Han Zhenhuan Huang Bang An Jing Bai 30 59 0 19 Jul 2021
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan. Z. Li SSL 14 46 0 21 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 24 447 0 10 Jun 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 29 76 0 10 Jun 2021
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph Mengying Sun Jing Xing Huijun Wang Bin Chen Jiayu Zhou 16 115 0 05 Jun 2021
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks Tianjin Huang Yulong Pei Vlado Menkovski Mykola Pechenizkiy 30 32 0 16 Apr 2021
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis Jiaye Teng Weiran Huang Haowei He SSL 29 11 0 05 Mar 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 36 324 0 22 Feb 2021
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 38 294 0 30 Nov 2020
Contrastive Self-supervised Learning for Graph Classification Jiaqi Zeng P. Xie SSL 33 153 0 13 Sep 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 50 1,586 0 15 Jun 2020