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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
Next Word Suggestion using Graph Neural Network
Next Word Suggestion using Graph Neural Network
Abisha Thapa Magar
Anup Shakya
GNN
35
0
0
13 May 2025
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness
Yoonhyuk Choi
Chong-Kwon Kim
39
0
0
13 May 2025
Measurement to Meaning: A Validity-Centered Framework for AI Evaluation
Measurement to Meaning: A Validity-Centered Framework for AI Evaluation
Olawale Salaudeen
Anka Reuel
Ahmed M. Ahmed
Suhana Bedi
Zachary Robertson
Shri Kiran Srinivasan
Ben Domingue
Angelina Wang
Sanmi Koyejo
ELM
27
1
0
13 May 2025
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
Hyowon Wi
Jeongwhan Choi
Noseong Park
35
0
0
13 May 2025
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
Yuxiang Wang
Xiao Yan
Shiyu Jin
Quanqing Xu
Chuang Hu
Yuanyuan Zhu
Bo Du
Jia Wu
Wentao Zhang
39
0
0
13 May 2025
Benchmarking Graph Neural Networks for Document Layout Analysis in Public Affairs
Benchmarking Graph Neural Networks for Document Layout Analysis in Public Affairs
Miguel Lopez-Duran
Julian Fierrez
Aythami Morales
Ruben Tolosana
Oscar Delgado-Mohatar
Alvaro Ortigosa
9
0
0
12 May 2025
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics
Yuanda Wang
Kailai Wang
Songhua Hu
Yunpeng
Zhang
Gino Lim
Pengyu Zhu
37
0
0
12 May 2025
NetSight: Graph Attention Based Traffic Forecasting in Computer Networks
NetSight: Graph Attention Based Traffic Forecasting in Computer Networks
Jinming Xing
Guoheng Sun
Hui Sun
Linchao Pan
Shakir Mahmood
Xuanhao Luo
Muhammad Shahzad
36
0
0
11 May 2025
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
Gregoire Fournier
Sourav Medya
BDL
53
0
0
11 May 2025
Masked Subspace Clustering Methods
Masked Subspace Clustering Methods
Jiebo Song
Huaming Ling
25
0
0
11 May 2025
Code Retrieval for MILP Instance Generation
Code Retrieval for MILP Instance Generation
Tianxing Yang
Huigen Ye
Hua Xu
19
0
0
11 May 2025
Graph-based Online Monitoring of Train Driver States via Facial and Skeletal Features
Graph-based Online Monitoring of Train Driver States via Facial and Skeletal Features
Olivia Nocentini
Marta Lagomarsino
Gokhan Solak
Younggeol Cho
Qiyi Tong
M. Lorenzini
Arash Ajoudani
CVBM
31
0
0
09 May 2025
Multi-Modal Molecular Representation Learning via Structure Awareness
Multi-Modal Molecular Representation Learning via Structure Awareness
Rong Yin
Ruyue Liu
Xiaoshuai Hao
Xingrui Zhou
Yong-Jin Liu
Can Ma
Weiping Wang
34
0
0
09 May 2025
Graph Laplacian Wavelet Transformer via Learnable Spectral Decomposition
Graph Laplacian Wavelet Transformer via Learnable Spectral Decomposition
Andrew Kiruluta
Eric Lundy
Priscilla Burity
29
0
0
09 May 2025
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics
Insung Kong
Kunwoong Kim
Yongdai Kim
FaML
34
1
0
09 May 2025
Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning
Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning
Hang Gao
Chenhao Zhang
Tie Wang
Junsuo Zhao
Fengge Wu
Changwen Zheng
Huaping Liu
LRM
34
0
0
09 May 2025
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
Zhiyuan Ning
Meng Xiao
Ziyue Qiao
Pengyang Wang
Yuanchun Zhou
246
0
0
08 May 2025
UniCO: Towards a Unified Model for Combinatorial Optimization Problems
UniCO: Towards a Unified Model for Combinatorial Optimization Problems
Zefang Zong
Xiaochen Wei
Guozhen Zhang
Chen Gao
Huandong Wang
Yong Li
39
0
0
07 May 2025
Soft causal learning for generalized molecule property prediction: An environment perspective
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
61
0
0
07 May 2025
Vision Graph Prompting via Semantic Low-Rank Decomposition
Vision Graph Prompting via Semantic Low-Rank Decomposition
Zixiang Ai
Zichen Liu
Jiahuan Zhou
60
0
0
07 May 2025
Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training
Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training
Aditya K. Ranjan
Siddharth Singh
Cunyang Wei
A. Bhatele
GNN
53
0
0
07 May 2025
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
Hong Jin
Kaicheng Zhou
Jie Yin
Lan You
Zhifeng Zhou
41
0
0
07 May 2025
HCOA*: Hierarchical Class-ordered A* for Navigation in Semantic Environments
HCOA*: Hierarchical Class-ordered A* for Navigation in Semantic Environments
Evangelos Psomiadis
Panagiotis Tsiotras
41
0
0
06 May 2025
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
Caleb Chuck
Fan Feng
Carl Qi
Chang Shi
Siddhant Agarwal
Amy Zhang
S. Niekum
49
0
0
06 May 2025
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
Changxi Chi
Jun Xia
Jingbo Zhou
Jiabei Cheng
Chang Yu
Stan Z. Li
46
0
0
06 May 2025
Robust Understanding of Human-Robot Social Interactions through Multimodal Distillation
Robust Understanding of Human-Robot Social Interactions through Multimodal Distillation
Tongfei Bian
Mathieu Chollet
T. Guha
36
0
0
06 May 2025
DiffVQA: Video Quality Assessment Using Diffusion Feature Extractor
DiffVQA: Video Quality Assessment Using Diffusion Feature Extractor
Wei-Ting Chen
Yu-Jiet Vong
Yi-Tsung Lee
Sy-Yen Kuo
Qiang Gao
Sizhuo Ma
Jian Wang
253
0
0
06 May 2025
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
Kirill Lukyanov
Mikhail Drobyshevskiy
Georgii Sazonov
Mikhail Soloviov
Ilya Makarov
GNN
56
0
0
06 May 2025
Estimating Commonsense Scene Composition on Belief Scene Graphs
Estimating Commonsense Scene Composition on Belief Scene Graphs
Mario A. V. Saucedo
Vignesh Kottayam Viswanathan
Christoforos Kanellakis
G. Nikolakopoulos
3DV
28
0
0
05 May 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective
Rethinking Federated Graph Learning: A Data Condensation Perspective
Hao Zhang
Xunkai Li
Bo Li
Lianglin Hu
FedML
DD
AI4CE
59
0
0
05 May 2025
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
Zhong Guan
Likang Wu
Hongke Zhao
Ming He
Jianpin Fan
GNN
42
0
0
04 May 2025
Deep Representation Learning for Electronic Design Automation
Deep Representation Learning for Electronic Design Automation
Pratik Shrestha
Saran Phatharodom
Alec Aversa
David Blankenship
Zhengfeng Wu
Ioannis Savidis
29
0
0
04 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
Rui Lv
Zhenru Zhang
Kai Zhang
Qi Liu
Weibo Gao
Jing Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
229
0
0
04 May 2025
Wide & Deep Learning for Node Classification
Wide & Deep Learning for Node Classification
Yancheng Chen
Wenguo Yang
Zhipeng Jiang
GNN
43
0
0
04 May 2025
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement
Long Bai
Boyi Ma
Ruohan Wang
Guankun Wang
Beilei Cui
...
Mobarakol Islam
Zhe Min
Jiewen Lai
Nassir Navab
Hongliang Ren
53
0
0
03 May 2025
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling
Hyun Lee
Chris Yi
Maminur Islam
B.D.S. Aritra
35
0
0
02 May 2025
3D Human Pose Estimation via Spatial Graph Order Attention and Temporal Body Aware Transformer
3D Human Pose Estimation via Spatial Graph Order Attention and Temporal Body Aware Transformer
Kamel Aouaidjia
Aofan Li
Wenhao Zhang
Chongsheng Zhang
ViT
31
0
0
02 May 2025
Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing
Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing
D. Patel
R. Sharma
Y.B. Guo
AI4CE
PINN
35
0
0
02 May 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
Xunkai Li
Zhengyu Wu
Kaichi Yu
Hongchao Qin
Guang Zeng
Rong-Hua Li
Guoren Wang
40
0
0
02 May 2025
Addressing Noise and Stochasticity in Fraud Detection for Service Networks
Addressing Noise and Stochasticity in Fraud Detection for Service Networks
Wenxin Zhang
Ding Xu
Xi Xuan
Lei Jiang
Guangzhen Yao
Renda Han
Xiangxiang Lang
Cuicui Luo
208
0
0
02 May 2025
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
Jie Yang
Yuwen Wang
Kaixuan Chen
Tongya Zheng
Yihe Zhou
Zhenbang Xiao
Ji Cao
Mingli Song
Shixuan Liu
AI4CE
59
1
0
01 May 2025
TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
Yue Meng
Chuchu Fan
40
0
0
01 May 2025
Repetition Makes Perfect: Recurrent Sum-GNNs Match Message Passing Limit
Repetition Makes Perfect: Recurrent Sum-GNNs Match Message Passing Limit
Eran Rosenbluth
Martin Grohe
26
1
0
01 May 2025
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
Hong Xin Xie
Jian De Sun
Fan Fu Xue
Zi Fei Han
S. Feng
Qi Chen
58
0
0
01 May 2025
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
William Sutcliffe
Marta Calvi
Simone Capelli
Jonas Eschle
J. G. Pardiñas
Abhijit Mathad
Azusa Uzuki
N. Serra
41
0
0
30 Apr 2025
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning
Sixuan Wang
Jiao Yin
Jinli Cao
MingJian Tang
Hua Wang
Yanchun Zhang
GNN
AI4CE
61
0
0
30 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
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
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Junyuan Fang
Han Yang
Haixian Wen
Jiajing Wu
Zibin Zheng
Chi K. Tse
AAML
51
0
0
29 Apr 2025
Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS
Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS
Chengkai Yang
Xingping Dong
Xiaofen Zong
31
0
0
29 Apr 2025
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