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Graph Random Neural Network for Semi-Supervised Learning on Graphs

22 May 2020

Yuxiao Dong

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Papers citing "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

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Title
LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Lorenzo Bini Stéphane Marchand-Maillet DiffM 23 0 0 16 Jun 2025
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block Dooho Lee Myeong Kong Sagad Hamid Cheonwoo Lee Jaemin Yoo 44 0 0 27 May 2025
Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph Qiaosheng Chen Kaijia Huang Xiao Zhou Weiqing Luo Yuanning Cui Gong Cheng CVBM VLM 87 0 0 23 May 2025
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification Xiao Lin Zhichen Zeng Tianxin Wei Zhining Liu Yuzhong Chen Hanghang Tong AI4TS 113 2 0 05 Apr 2025
AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification Minjun Kim Jaehyeon Choi SeungJoo Lee Jinhong Jung U. Kang OOD GNN 131 2 0 27 Mar 2025
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization Yankai Chen Taotao Wang Yixiang Fang Yunyu Xiao BDL 203 1 0 26 Mar 2025
3D Occupancy Prediction with Low-Resolution Queries via Prototype-aware View Transformation Gyeongrok Oh Sungjune Kim Heeju Ko Hyung-Gun Chi J. Kim Dongwook Lee Daehyun Ji Sungjoon Choi Sujin Jang Sangpil Kim 93 1 0 19 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 252 0 0 16 Mar 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 134 1 0 03 Mar 2025
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs Yushi Feng Tsai Hor Chan Guosheng Yin Lequan Yu 121 1 0 20 Feb 2025
Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features Osama Ahmad Zubair Khalid Muhammad Ahmad Tahir M. Uppal 67 0 0 20 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 200 3 0 03 Jan 2025
CLDG: Contrastive Learning on Dynamic Graphs Yiming Xu Bin Shi Teng Ma Bo Dong Haoyi Zhou Qinghua Zheng 180 15 0 19 Dec 2024
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model Yujun Li Hongyuan Zhang Yuan Yuan 132 1 0 15 Dec 2024
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm Zhichao Hou Weizhi Gao Yuchen Shen Feiyi Wang Xiaorui Liu VLM 79 2 0 30 Oct 2024
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Bowen Liu Haoyang Li Shuning Wang Shuo Nie Shanghang Zhang OODD CML 176 0 0 29 Oct 2024
Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation Bohan Wang Yurui Chang Lu Lin OODD OOD 104 0 0 23 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 189 0 0 11 Oct 2024
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance Chusheng Zeng Bocheng Wang Jinghui Yuan Rong Wang Mulin. Chen 75 0 0 22 Aug 2024
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks Jie Peng Runlin Lei Zhewei Wei 163 7 0 07 Aug 2024
TSC: A Simple Two-Sided Constraint against Over-Smoothing Furong Peng Kang Liu Xuan Lu Yuhua Qian HongRen Yan Chao Ma 115 0 0 06 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 96 5 0 31 Jul 2024
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation Weibin Liao Yifan Zhu Yanyan Li Qi Zhang Zhonghong Ou Xuesong Li 96 5 0 30 Jul 2024
xAI-Drop: Don't Use What You Cannot Explain Vincenzo Marco De Luca Antonio Longa Andrea Passerini Pietro Lio 116 0 0 29 Jul 2024
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models Quan Li Tianxiang Zhao Lingwei Chen Junjie Xu Suhang Wang AI4CE 123 0 0 19 Jul 2024
Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model Yuxing Tian Yiyan Qi Aiwen Jiang Qi Huang Jian Guo DiffM 58 0 0 11 Jul 2024
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network Yushan Zhu Wen Zhang Yajing Xu Zhen Yao Yin Hua Huajun Chen 99 0 0 03 Jul 2024
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes Shuaike Xu Xiaolin Zhang Peng Zhang Kun Zhan 124 1 0 02 Jul 2024
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs J. V. Pichowski Vincenzo Perri Lisi Qarkaxhija Ingo Scholtes 80 0 0 24 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations Danial Saber Amirali Salehi-Abari 78 1 0 17 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 134 2 0 08 Jun 2024
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs Shuqi He Jun Zhuang Ding Wang Luyao Peng Jun Song AAML 83 1 0 05 Jun 2024
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNs Zhiheng Zhou Sihao Liu Weichen Zhao 84 0 0 30 May 2024
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning Zixu Wang Bingbing Xu Yige Yuan Huawei Shen Xueqi Cheng OODD 103 2 0 25 May 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 175 28 0 15 May 2024
Exploring Correlations of Self-Supervised Tasks for Graphs Taoran Fang Wei Zhou Yifei Sun Kaiqiao Han Lvbin Ma Yang Yang 88 7 0 07 May 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors Shenghe Zheng Hongzhi Wang Xianglong Liu 113 3 0 02 May 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu 110 3 0 15 Apr 2024
Graphs Generalization under Distribution Shifts Qin Tian Wenjun Wang Chen Zhao Minglai Shao Wang Zhang Dong Li OOD 93 2 0 25 Mar 2024
Robust Subgraph Learning by Monitoring Early Training Representations Sepideh Neshatfar Salimeh Yasaei Sekeh AAML 145 0 0 14 Mar 2024
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks Zhaoliang Chen Zhihao Wu Ylli Sadikaj Claudia Plant Hong-Ning Dai Shiping Wang Wenzhong Guo AAML 92 1 0 14 Mar 2024
Cooperative Classification and Rationalization for Graph Generalization Linan Yue Qi Liu Ye Liu Weibo Gao Fangzhou Yao Wenfeng Li 80 10 0 10 Mar 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning Man Wu Xin-Yang Zheng Qin Zhang Xiao Shen Xiong Luo Xingquan Zhu Shirui Pan OOD 157 12 0 26 Feb 2024
Node Duplication Improves Cold-start Link Prediction Zhichun Guo Tong Zhao Yozen Liu Kaiwen Dong William Shiao Neil Shah Nitesh Chawla AI4CE 65 4 0 15 Feb 2024
UGMAE: A Unified Framework for Graph Masked Autoencoders Yijun Tian Chuxu Zhang Ziyi Kou Zheyuan Liu Xiangliang Zhang Nitesh Chawla 92 1 0 12 Feb 2024
PAC Learnability under Explanation-Preserving Graph Perturbations Xu Zheng Farhad Shirani Tianchun Wang Shouwei Gao Wenqian Dong Wei Cheng Dongsheng Luo 68 0 0 07 Feb 2024
Learning to Approximate Adaptive Kernel Convolution on Graphs Jaeyoon Sim Sooyeon Jeon Injun Choi Guorong Wu Won Hwa Kim 76 3 0 22 Jan 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification Yutong Xia Runpeng Yu Yuxuan Liang Xavier Bresson Xinchao Wang Roger Zimmermann 97 4 0 18 Jan 2024
Unifying Graph Contrastive Learning via Graph Message Augmentation Ziyan Zhang Bo Jiang Jin Tang Bin Luo 81 1 0 08 Jan 2024
Graph Elimination Networks Shuo Wang Ge Cheng Yun Zhang AI4CE GNN 72 0 0 02 Jan 2024