ResearchTrend.AI
Graph Random Neural Network for Semi-Supervised Learning on Graphs
v1v2v3v4 (latest)

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
ArXiv (abs)PDFHTMLGithub (210★)

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

50 / 186 papers shown
Title
LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations
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
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
CVBMVLM
87
0
0
23 May 2025
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification
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
AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification
Minjun Kim
Jaehyeon Choi
SeungJoo Lee
Jinhong Jung
U. Kang
OODGNN
131
2
0
27 Mar 2025
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
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
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
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffMGNN
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
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
Yushi Feng
Tsai Hor Chan
Guosheng Yin
Lequan Yu
118
1
0
20 Feb 2025
Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features
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
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
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
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
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
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
Bowen Liu
Haoyang Li
Shuning Wang
Shuo Nie
Shanghang Zhang
OODDCML
176
0
0
29 Oct 2024
Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation
Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation
Bohan Wang
Yurui Chang
Lu Lin
OODDOOD
104
0
0
23 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
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
GNNAI4CE
189
0
0
11 Oct 2024
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance
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
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
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
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
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
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
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
2
0
19 Jul 2024
Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model
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
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
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
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
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
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
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
Shuqi He
Jun Zhuang
Ding Wang
Luyao Peng
Jun Song
AAML
81
1
0
05 Jun 2024
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNs
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
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
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
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
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
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
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
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
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
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
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
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
UGMAE: A Unified Framework for Graph Masked Autoencoders
Yijun Tian
Chuxu Zhang
Ziyi Kou
Zheyuan Liu
Xiangliang Zhang
Nitesh Chawla
90
1
0
12 Feb 2024
PAC Learnability under Explanation-Preserving Graph Perturbations
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
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
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
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
Graph Elimination Networks
Shuo Wang
Ge Cheng
Yun Zhang
AI4CEGNN
72
0
0
02 Jan 2024

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.