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Semi-Supervised Classification with Graph Convolutional Networks
v1v2v3v4 (latest)

Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016
Thomas Kipf
Max Welling
    GNNSSL
ArXiv (abs)PDFHTML

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

50 / 11,315 papers shown
Title
Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
Mengran Li
Z. Zang
Wenbin Xing
Junzhou Chen
Ronghui Zhang
Jiebo Luo
Stan Z. Li
AI4CE
210
0
0
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A decoupled alignment kernel for peptide membrane permeability predictions
A decoupled alignment kernel for peptide membrane permeability predictions
Ali Amirahmadi
Gökçe Geylan
Leonardo De Maria
Farzaneh Etminani
Mattias Ohlsson
Alessandro Tibo
162
0
0
26 Nov 2025
Short-Range Oversquashing
Short-Range Oversquashing
Yaaqov Mishayev
Yonatan Sverdlov
Tal Amir
Nadav Dym
77
0
0
25 Nov 2025
Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
Haoran Zheng
Renchi Yang
Hongtao Wang
Jianliang Xu
16
0
0
25 Nov 2025
Towards A Tri-View Diffusion Framework for Recommendation
Towards A Tri-View Diffusion Framework for Recommendation
Ximing Chen
Pui Ieng Lei
Yijun Sheng
Yanyan Liu
Zhiguo Gong
DiffM
100
0
0
25 Nov 2025
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
Songbo Wang
Renchi Yang
Yurui Lai
Xiaoyang Lin
Tsz Nam Chan
SSL
197
0
0
25 Nov 2025
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
Haoran Zheng
Renchi Yang
Yubo Zhou
Jianliang Xu
24
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0
25 Nov 2025
Leveraging Duration Pseudo-Embeddings in Multilevel LSTM and GCN Hypermodels for Outcome-Oriented PPM
Leveraging Duration Pseudo-Embeddings in Multilevel LSTM and GCN Hypermodels for Outcome-Oriented PPM
Fang Wang
Paolo Ceravolo
Ernesto Damiani
AI4TS
159
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0
24 Nov 2025
Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation
Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation
Qisen Chai
Yansong Wang
Junjie Huang
Tao Jia
AAML
173
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0
24 Nov 2025
Classification EM-PCA for clustering and embedding
Classification EM-PCA for clustering and embedding
Zineddine Tighidet
Lazhar Labiod
M. Nadif
69
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24 Nov 2025
GRIT-LP: Graph Transformer with Long-Range Skip Connection and Partitioned Spatial Graphs for Accurate Ice Layer Thickness Prediction
GRIT-LP: Graph Transformer with Long-Range Skip Connection and Partitioned Spatial Graphs for Accurate Ice Layer Thickness Prediction
Zesheng Liu
Maryam Rahnemoonfar
24
0
0
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Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings
Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings
Zimo Yan
Zheng Xie
Chang-rui Liu
Y. X. R. Wang
23
0
0
24 Nov 2025
Auto-ML Graph Neural Network Hypermodels for Outcome Prediction in Event-Sequence Data
Auto-ML Graph Neural Network Hypermodels for Outcome Prediction in Event-Sequence Data
Fang Wang
Lance Kosca
Adrienne Kosca
Marko Gacesa
Ernesto Damiani
AI4CE
167
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0
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Crash-Consistent Checkpointing for AI Training on macOS/APFS
Crash-Consistent Checkpointing for AI Training on macOS/APFS
Juha Jeon
8
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0
23 Nov 2025
CycleChemist: A Dual-Pronged Machine Learning Framework for Organic Photovoltaic Discovery
CycleChemist: A Dual-Pronged Machine Learning Framework for Organic Photovoltaic Discovery
Hou Hei Lam
J. Qiu
Xiuyuan Hu
W. Li
Fankun Zeng
Siwei Fu
H. Zhang
Xiaonan Wang
16
0
0
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GROOT: Graph Edge Re-growth and Partitioning for the Verification of Large Designs in Logic Synthesis
GROOT: Graph Edge Re-growth and Partitioning for the Verification of Large Designs in Logic Synthesis
Kiran Thorat
Hongwu Peng
Yuebo Luo
Xi Xie
Shaoyi Huang
...
Jiahui Zhao
Yingjie Li
Zhijie Shi
Cunxi Yu
Caiwen Ding
74
1
0
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Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
Randy Davila
Beyzanur Ispir
GNNAI4CE
137
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Neural Graph Navigation for Intelligent Subgraph Matching
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Yuchen Ying
Yiyang Dai
Wenda Li
Wenjie Huang
Rui Wang
Tongya Zheng
Yu Wang
Hanyang Yuan
Mingli Song
GNN
24
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0
22 Nov 2025
Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
Jiayi Luo
Qingyun Sun
Lingjuan Lyu
Ziwei Zhang
Haonan Yuan
Xingcheng Fu
Jianxin Li
AAMLAI4CE
28
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0
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PersonalizedRouter: Personalized LLM Routing via Graph-based User Preference Modeling
PersonalizedRouter: Personalized LLM Routing via Graph-based User Preference Modeling
Zhongjie Dai
Tao Feng
Jiaxuan You
41
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0
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Topologic Attention Networks: Attending to Direct and Indirect Neighbors through Gaussian Belief Propagation
Topologic Attention Networks: Attending to Direct and Indirect Neighbors through Gaussian Belief Propagation
Marshall Rosenhoover
Huaming Zhang
81
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CausalMamba: Interpretable State Space Modeling for Temporal Rumor Causality
Xiaotong Zhan
Xi Cheng
52
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Fluid Grey 2: How Well Does Generative Adversarial Network Learn Deeper Topology Structure in Architecture That Matches Images?
Fluid Grey 2: How Well Does Generative Adversarial Network Learn Deeper Topology Structure in Architecture That Matches Images?Journal of Building Engineering (JBE), 2024
Yayan Qiu
Sean Hanna
44
1
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HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic ProgrammingInternational Conference on Machine Learning (ICML), 2025
Yang Wu
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140
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Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Nimeshika Udayangani
H. M. Dolatabadi
S. Erfani
C. Leckie
OODD
222
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0
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Gauge-Equivariant Graph Networks via Self-Interference Cancellation
Yoonhyuk Choi
Chong-Kwon Kim
68
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L-JacobiNet and S-JacobiNet: An Analysis of Adaptive Generalization, Stabilization, and Spectral Domain Trade-offs in GNNs
Huseyin Goksu
24
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72
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A Spatial Semantics and Continuity Perception Attention for Remote Sensing Water Body Change Detection
Quanqing Ma
Jiaen Chen
Peng Wang
Yao Zheng
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Yuchen Zheng
39
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When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected
When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected
Haotian Xu
Yuning You
Tengfei Ma
40
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KrawtchoukNet: A Unified GNN Solution for Heterophily and Over-smoothing with Adaptive Bounded Polynomials
KrawtchoukNet: A Unified GNN Solution for Heterophily and Over-smoothing with Adaptive Bounded Polynomials
Huseyin Goksu
13
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LaguerreNet: Advancing a Unified Solution for Heterophily and Over-smoothing with Adaptive Continuous Polynomials
LaguerreNet: Advancing a Unified Solution for Heterophily and Over-smoothing with Adaptive Continuous Polynomials
Huseyin Goksu
62
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MF-GCN: A Multi-Frequency Graph Convolutional Network for Tri-Modal Depression Detection Using Eye-Tracking, Facial, and Acoustic Features
MF-GCN: A Multi-Frequency Graph Convolutional Network for Tri-Modal Depression Detection Using Eye-Tracking, Facial, and Acoustic Features
Sejuti Rahman
Swakshar Deb
MD. Sameer Iqbal Chowdhury
MD. Jubair Ahmed Sourov
Mohammad Shamsuddin
56
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0
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Integrating Causal Inference with Graph Neural Networks for Alzheimer's Disease Analysis
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139
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0
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Neurocircuitry-Inspired Hierarchical Graph Causal Attention Networks for Explainable Depression Identification
Neurocircuitry-Inspired Hierarchical Graph Causal Attention Networks for Explainable Depression Identification
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Yuxiao Yang
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81
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The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
Sairam S
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100
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Real-time prediction of breast cancer sites using deformation-aware graph neural network
Real-time prediction of breast cancer sites using deformation-aware graph neural networkEngineering applications of artificial intelligence (EAAI), 2025
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InteractiveGNNExplainer: A Visual Analytics Framework for Multi-Faceted Understanding and Probing of Graph Neural Network Predictions
InteractiveGNNExplainer: A Visual Analytics Framework for Multi-Faceted Understanding and Probing of Graph Neural Network PredictionsInternational Conference on Information Visualisation (IV), 2025
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Protein Secondary Structure Prediction Using 3D Graphs and Relation-Aware Message Passing Transformers
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Hybrid-Domain Adaptative Representation Learning for Gaze Estimation
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Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
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MMD-Thinker: Adaptive Multi-Dimensional Thinking for Multimodal Misinformation Detection
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Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion
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Fairness-Aware Graph Representation Learning with Limited Demographic Information
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Self-Adaptive Graph Mixture of Models
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Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
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Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs
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Improving the Generalisation of Learned Reconstruction Frameworks
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