ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1609.02907
  4. Cited By
Semi-Supervised Classification with Graph Convolutional Networks

Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016
Thomas Kipf
Max Welling
    GNN
    SSL
ArXivPDFHTML

Papers citing "Semi-Supervised Classification with Graph Convolutional Networks"

50 / 7,492 papers shown
Title
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions
Gulsah Hancerliogullari Koksalmis
Bulent Soykan
Laura J. Brattain
Hsin-Hsiung Huang
24
0
0
29 Apr 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
69
0
0
29 Apr 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs
Learning Laplacian Positional Encodings for Heterophilous Graphs
Michael Ito
Jiong Zhu
Dexiong Chen
Danai Koutra
Jenna Wiens
220
1
0
29 Apr 2025
Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective
Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective
Taoyu Su
Shuaiyi Nie
Duohe Ma
Xiaodong Li
Juwei Yue
Mengxiao Song
Yingkai Tang
Tingwen Liu
45
0
0
28 Apr 2025
Category-Level and Open-Set Object Pose Estimation for Robotics
Category-Level and Open-Set Object Pose Estimation for Robotics
Peter Honig
Matthias Hirschmanner
Markus Vincze
42
0
0
28 Apr 2025
Graph Fourier Transformer with Structure-Frequency Information
Graph Fourier Transformer with Structure-Frequency Information
Yonghui Zhai
Yang Zhang
Minghao Shang
Lihua Pang
Yaxin Ren
45
0
0
28 Apr 2025
ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies
ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies
Shubham Gandhi
Dhruv Shah
Manasi S. Patwardhan
L. Vig
Gautam M. Shroff
LLMAG
AI4CE
236
0
0
28 Apr 2025
Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks
Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks
Omid Semiari
Hosein Nikopour
S. Talwar
39
0
0
28 Apr 2025
Heterophily-informed Message Passing
Heterophily-informed Message Passing
Haishan Wang
Arno Solin
Vikas K. Garg
32
0
0
28 Apr 2025
Multimodal graph representation learning for website generation based on visual sketch
Multimodal graph representation learning for website generation based on visual sketch
Tung D. Vu
Chung Hoang
Truong-Son Hy
3DV
56
0
0
25 Apr 2025
Multi-Grained Compositional Visual Clue Learning for Image Intent Recognition
Multi-Grained Compositional Visual Clue Learning for Image Intent Recognition
Yin Tang
Jiankai Li
Hongyu Yang
Xuan Dong
Lifeng Fan
Weixin Li
39
0
0
25 Apr 2025
A Generative Graph Contrastive Learning Model with Global Signal
A Generative Graph Contrastive Learning Model with Global Signal
Xiaofan Wei
Binyan Zhang
263
0
0
25 Apr 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
Vignesh Balaji
Christos Kozyrakis
Gal Chechik
Haggai Maron
GNN
44
0
0
25 Apr 2025
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
Felix Burr
Marcel Hoffmann
A. Scherp
SSL
251
0
0
25 Apr 2025
RAGAT-Mind: A Multi-Granular Modeling Approach for Rumor Detection Based on MindSpore
RAGAT-Mind: A Multi-Granular Modeling Approach for Rumor Detection Based on MindSpore
Zhenkai Qin
Guifang Yang
Dongze Wu
MoE
45
0
0
24 Apr 2025
Combining GCN Structural Learning with LLM Chemical Knowledge for Enhanced Virtual Screening
Combining GCN Structural Learning with LLM Chemical Knowledge for Enhanced Virtual Screening
Radia Berreziga
Mohammed Brahimi
Khairedine Kraim
Hamid Azzoune
232
0
0
24 Apr 2025
Lessons from Deploying Learning-based CSI Localization on a Large-Scale ISAC Platform
Lessons from Deploying Learning-based CSI Localization on a Large-Scale ISAC Platform
Tianyu Zhang
Dongheng Zhang
Ruixu Geng
Xuecheng Xie
Shuai Yang
Yan Chen
56
0
0
24 Apr 2025
MSGCN: Multiplex Spatial Graph Convolution Network for Interlayer Link Weight Prediction
MSGCN: Multiplex Spatial Graph Convolution Network for Interlayer Link Weight Prediction
Steven E. Wilson
Sina Khanmohammadi
29
0
0
24 Apr 2025
QuantBench: Benchmarking AI Methods for Quantitative Investment
QuantBench: Benchmarking AI Methods for Quantitative Investment
Saizhuo Wang
Hao Kong
Jiadong Guo
Fengrui Hua
Yiyan Qi
Wanyun Zhou
Jiahao Zheng
Xinyu Wang
Lionel M. Ni
Jian Guo
204
2
0
24 Apr 2025
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
Mao Wang
Tao Wu
Xingping Xian
Shaojie Qiao
Weina Niu
Canyixing Cui
41
0
0
23 Apr 2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
Xu Guo
Tong Zhang
Fuyun Wang
Xudong Wang
Xuzhi Zhang
Xin Liu
Zhen Cui
37
0
0
23 Apr 2025
Heterogeneous networks in drug-target interaction prediction
Heterogeneous networks in drug-target interaction prediction
Mohammad Molaee
Nasrollah Moghadam Charkari
30
0
0
22 Apr 2025
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning
Anirudhan Badrinath
Alex Yang
Kousik Rajesh
Prabhat Agarwal
Jaewon Yang
Haoyu Chen
Jiajing Xu
Charles R. Rosenberg
AI4TS
33
0
0
22 Apr 2025
Multimodal Perception for Goal-oriented Navigation: A Survey
Multimodal Perception for Goal-oriented Navigation: A Survey
I-Tak Ieong
Hao Tang
LM&Ro
LRM
38
0
0
22 Apr 2025
Learning Dynamic Graphs via Tensorized and Lightweight Graph Convolutional Networks
Learning Dynamic Graphs via Tensorized and Lightweight Graph Convolutional Networks
Minglian Han
33
0
0
22 Apr 2025
Benchmarking machine learning models for predicting aerofoil performance
Benchmarking machine learning models for predicting aerofoil performance
Oliver Summerell
Gerardo Aragon-Camarasa
Stephanie Ordonez Sanchez
22
0
0
22 Apr 2025
Rhythm of Opinion: A Hawkes-Graph Framework for Dynamic Propagation Analysis
Rhythm of Opinion: A Hawkes-Graph Framework for Dynamic Propagation Analysis
Yulong Li
Zhixiang Lu
Feilong Tang
Simin Lai
Ming Hu
...
Haochen Xue
Zhaodong Wu
Imran Razzak
Qingxia Li
Jionglong Su
22
0
0
21 Apr 2025
Reliable Multi-Modal Object Re-Identification via Modality-Aware Graph Reasoning
Reliable Multi-Modal Object Re-Identification via Modality-Aware Graph Reasoning
Xixi Wan
Aihua Zheng
Zi Wang
Bo Jiang
Jin Tang
Jixin Ma
32
0
0
21 Apr 2025
Edge-boosted graph learning for functional brain connectivity analysis
Edge-boosted graph learning for functional brain connectivity analysis
David Yang
Mostafa Abdelmegeed
John Modl
Minjeong Kim
25
0
0
21 Apr 2025
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
Yunhui Liu
Jiashun Cheng
Yiqing Lin
Qizhuo Xie
Jia Li
Fugee Tsung
Hongzhi Yin
Tao Zheng
Jianhua Zhao
Tieke He
43
0
0
19 Apr 2025
Dual-channel Heterophilic Message Passing for Graph Fraud Detection
Dual-channel Heterophilic Message Passing for Graph Fraud Detection
Feiyu Xiong
Jingxing Zhong
Guangzhen Yao
Renda Han
Xiaojian Lin
Zeyu Zhang
Cuicui Luo
36
0
0
19 Apr 2025
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning
Zekai Chen
Xunkai Li
Bo Li
Rong-Hua Li
Guoren Wang
FedML
50
0
0
19 Apr 2025
Quantum-Enhanced Reinforcement Learning for Power Grid Security Assessment
Quantum-Enhanced Reinforcement Learning for Power Grid Security Assessment
Benjamin M. Peter
Mert Korkali
34
0
0
19 Apr 2025
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Jielong Lu
Zhihao Wu
Zhiling Cai
Yueyang Pi
Shiping Wang
GNN
59
0
0
18 Apr 2025
Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation
Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation
Zahra Akhlaghi
Mostafa Haghir Chehreghani
AI4TS
34
0
0
18 Apr 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Shenzhi Yang
Bin Liang
An Liu
Lin Gui
Xingkai Yao
Xiaofang Zhang
OODD
80
4
0
18 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs
Zichao Yue
Chenhui Deng
Zhiru Zhang
AI4CE
36
0
0
17 Apr 2025
Plain Transformers Can be Powerful Graph Learners
Plain Transformers Can be Powerful Graph Learners
Liheng Ma
Soumyasundar Pal
Yingxue Zhang
Philip Torr
Mark Coates
30
0
0
17 Apr 2025
Inference-friendly Graph Compression for Graph Neural Networks
Inference-friendly Graph Compression for Graph Neural Networks
Yangxin Fan
Haolai Che
Yinghui Wu
GNN
62
0
0
17 Apr 2025
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition
Heesoo Jung
Hogun Park
52
2
0
16 Apr 2025
Graph Network for Sign Language Tasks
Graph Network for Sign Language Tasks
Shiwei Gan
Yafeng Yin
Zhiwei Jiang
Hongkai Wen
Lei Xie
Sanglu Lu
SLR
56
0
0
16 Apr 2025
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex
Azadeh Beiranvand
Seyed Mehdi Vahidipour
39
0
0
16 Apr 2025
Trajectory Encoding Temporal Graph Networks
Trajectory Encoding Temporal Graph Networks
Jiafeng Xiong
Rizos Sakellariou
AI4CE
49
0
0
15 Apr 2025
Subset-Contrastive Multi-Omics Network Embedding
Subset-Contrastive Multi-Omics Network Embedding
Pedro H. C. Avelar
Min-Ying Wu
S. Tsoka
33
0
0
15 Apr 2025
Transfer Learning for Temporal Link Prediction
Transfer Learning for Temporal Link Prediction
Ayan Chatterjee
Barbara Ikica
B. Ravandi
John Palowitch
39
0
0
15 Apr 2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
Zhengyu Wu
Boyang Pang
Xunkai Li
Bo Li
Daohan Su
Bowen Fan
Rong-Hua Li
Guoren Wang
Chenghu Zhou
FedML
43
0
0
14 Apr 2025
Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
Kien X. Nguyen
Bao Bach
Ilya Safro
25
1
0
14 Apr 2025
AI-Driven Code Refactoring: Using Graph Neural Networks to Enhance Software Maintainability
AI-Driven Code Refactoring: Using Graph Neural Networks to Enhance Software Maintainability
Gopichand Bandarupalli
24
1
0
14 Apr 2025
Computer-Aided Layout Generation for Building Design: A Review
Computer-Aided Layout Generation for Building Design: A Review
Jiachen Liu
Yuan Xue
Haomiao Ni
Rui Yu
Zihan Zhou
S. X. Huang
3DV
AI4CE
79
0
0
13 Apr 2025
Spatially Directional Dual-Attention GAT for Spatial Fluoride Health Risk Modeling
Spatially Directional Dual-Attention GAT for Spatial Fluoride Health Risk Modeling
Da Yuan
36
0
0
13 Apr 2025
Previous
123456...148149150
Next