SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism

20 January 2021

Papers citing "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"

20 / 20 papers shown

Title
Soft causal learning for generalized molecule property prediction: An environment perspective Limin Li Kuo Yang Wenjie Du Pengkun Wang Zhengyang Zhou Yang Wang OOD AI4CE 56 0 0 07 May 2025
A Generative Graph Contrastive Learning Model with Global Signal Xiaofan Wei Binyan Zhang 144 0 0 25 Apr 2025
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning Jiapeng Zhu Zichen Ding Jianxiang Yu Jiaqi Tan Xiang Li Weining Qian OffRL 144 2 0 20 Jan 2025
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning Wei Qiao Yebo Feng Teng Li Zijian Zhang Zhengzi Xu Zhuo Ma Yulong Shen 32 0 0 23 Oct 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 103 21 0 15 May 2024
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information Taojie Kuang Yiming Ren Zhixiang Ren 23 7 0 28 Sep 2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks Cai Zhou Xiyuan Wang Muhan Zhang 28 14 0 08 May 2023
MPool: Motif-Based Graph Pooling Muhammad Ifte Khairul Islam Max Khanov Esra Akbas 19 4 0 07 Mar 2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning Cheng Ji Jianxin Li Hao Peng Jia Wu Xingcheng Fu Qingyun Sun Phillip S. Yu SSL CLL 21 5 0 28 Jan 2023
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information Qingyun Sun Jianxin Li Beining Yang Xingcheng Fu Hao Peng Philip S. Yu 17 11 0 30 Dec 2022
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 21 8 0 20 Dec 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning Chang-Shu Liu Yuwen Yang Zhe Xie Hongtao Lu Yue Ding 28 4 0 01 Nov 2022
SHINE: SubHypergraph Inductive Neural nEtwork Yuan Luo 26 13 0 13 Oct 2022
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Jia Wu Xingcheng Fu Cheng Ji Philip S. Yu 39 153 0 16 Dec 2021
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network Xingcheng Fu Jianxin Li Jia Wu Qingyun Sun Cheng Ji Senzhang Wang Jiajun Tan Hao Peng Philip S. Yu 11 32 0 15 Oct 2021
Edge but not Least: Cross-View Graph Pooling Xiaowei Zhou Jie Yin Ivor W. Tsang 36 2 0 24 Sep 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 24 42 0 24 Aug 2021
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric P. Xing Xiaodan Liang 18 86 0 17 Jun 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Jia Wu Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 28 538 0 14 Jun 2021
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks Gongxu Luo Jianxin Li Jianlin Su Hao Peng Carl Yang Lichao Sun Philip S. Yu Lifang He 19 26 0 07 May 2021