Semi-supervised Learning on Graphs with Generative Adversarial Nets

1 September 2018

Ming Ding

Papers citing "Semi-supervised Learning on Graphs with Generative Adversarial Nets"

24 / 24 papers shown

Title
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning Yinlin Zhu Xunkai Li Zhengyu Wu Di Wu Miao Hu Ronghua Li FedML 29 6 0 22 Apr 2024
Predicting Financial Literacy via Semi-supervised Learning David Hason Rudd Huan Huo Guandong Xu 11 0 0 18 Dec 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 Contrastive Learning with Personalized Augmentation X. Zhang Qiaoyu Tan Xiao Shi Huang Bo-wen Li 41 15 0 14 Sep 2022
A Class-Aware Representation Refinement Framework for Graph Classification Jiaxing Xu Jinjie Ni Yiping Ke GNN 29 4 0 02 Sep 2022
SETTI: A Self-supervised Adversarial Malware Detection Architecture in an IoT Environment Marjan Golmaryami R. Taheri Zahra Pooranian Mohammad Shojafar Pei Xiao 33 12 0 16 Apr 2022
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks Qingsong Lv Ming Ding Qiang Liu Yuxiang Chen Wenzheng Feng Siming He Chang Zhou Jianguo Jiang Yuxiao Dong Jie Tang 42 312 0 30 Dec 2021
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation Dongjie Wang Yanjie Fu Kunpeng Liu Fanglan Chen Pengyang Wang Chang-Tien Lu 24 19 0 26 Dec 2021
Stable Prediction on Graphs with Agnostic Distribution Shift Shengyu Zhang Kun Kuang J. Qiu Jin Yu Zhou Zhao Hongxia Yang Zhongfei Zhang Fei Wu OOD 39 8 0 08 Oct 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification Jingyi Wang Zhidong Deng GNN 21 11 0 19 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 47 6 0 27 Jan 2021
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 27 72 0 04 Sep 2020
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning Dongjie Wang Yanjie Fu Pengyang Wang B. Huang Chang-Tien Lu 28 29 0 22 Aug 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
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 26 387 0 22 May 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 47 567 0 04 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 33 821 0 20 Jan 2020
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning Shuai Zheng Zhenfeng Zhu Xingxing Zhang Zhizhe Liu Jian Cheng Yao-Min Zhao OOD GAN 30 32 0 04 Dec 2019
Semi-supervisedly Co-embedding Attributed Networks Zaiqiao Meng Shangsong Liang Jinyuan Fang Teng Xiao GNN DRL 28 26 0 31 Oct 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 33 62 0 25 Sep 2019
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking Xiaolong Jiang Peizhao Li Yanjing Li Xiantong Zhen VOT 32 32 0 11 Jul 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 34 218 0 20 Feb 2019
Learning Graph Embedding with Adversarial Training Methods Shirui Pan Ruiqi Hu S. Fung Guodong Long Jing Jiang Chengqi Zhang GNN GAN 27 282 0 04 Jan 2019
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 54 1,321 0 11 Dec 2018