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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 / 7,489 papers shown
Title
Oversmoothing, "Oversquashing", Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
Oversmoothing, "Oversquashing", Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
Adrian Arnaiz-Rodriguez
Federico Errica
AI4CE
22
0
0
21 May 2025
Beyond Node Attention: Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing
Beyond Node Attention: Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing
Longlong Li
Cunquan Qu
Guanghui Wang
11
0
0
21 May 2025
Convolutional Long Short-Term Memory Neural Networks Based Numerical Simulation of Flow Field
Convolutional Long Short-Term Memory Neural Networks Based Numerical Simulation of Flow Field
Chang Liu
AI4CE
22
0
0
21 May 2025
GCNT: Graph-Based Transformer Policies for Morphology-Agnostic Reinforcement Learning
GCNT: Graph-Based Transformer Policies for Morphology-Agnostic Reinforcement Learning
Yingbo Luo
Meibao Yao
Xueming Xiao
17
0
0
21 May 2025
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression
Tong Cheng
Fu Jie
Xinpeng Ling
Huifa Li
Zhili Chen
AAML
FedML
14
0
0
21 May 2025
Physics-Guided Multi-View Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling
Physics-Guided Multi-View Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling
Badhan Mazumder
Ayush Kanyal
Lei Wu
Vince D. Calhoun
Dong Hye Ye
17
2
0
21 May 2025
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
Jiawei Gu
Ziyue Qiao
Zechao Li
14
0
0
21 May 2025
Unified Cross-Modal Attention-Mixer Based Structural-Functional Connectomics Fusion for Neuropsychiatric Disorder Diagnosis
Unified Cross-Modal Attention-Mixer Based Structural-Functional Connectomics Fusion for Neuropsychiatric Disorder Diagnosis
Badhan Mazumder
Lei Wu
Vince D. Calhoun
Dong Hye Ye
14
0
0
21 May 2025
Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
Tian Sun
Yuqi Chen
Baihua Zheng
Weiwei Sun
9
0
0
20 May 2025
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening
Guoming Li
Jian Yang
Yifan Chen
14
0
0
20 May 2025
Solving Normalized Cut Problem with Constrained Action Space
Solving Normalized Cut Problem with Constrained Action Space
Qize Jiang
Linsey Pang
Alice Gatti
Mahima Aggarwa
Giovanna Vantin
Xiaosong Ma
Weiwei Sun
Sanjay Chawla
AI4CE
14
0
0
20 May 2025
Unlearning Algorithmic Biases over Graphs
Unlearning Algorithmic Biases over Graphs
O. Deniz Kose
Gonzalo Mateos
Yanning Shen
MU
FaML
30
0
0
20 May 2025
Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey
Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey
Seunghyuk Cho
Zhenyue Qin
Yang Liu
Youngbin Choi
Seungbeom Lee
Dongwoo Kim
LRM
19
0
0
20 May 2025
Nonparametric Teaching for Graph Property Learners
Nonparametric Teaching for Graph Property Learners
Chen Zhang
Weixin Bu
Zhaochun Ren
Zhengwu Liu
Yik-Chung Wu
Ngai Wong
17
0
0
20 May 2025
Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
Huiliang Zhang
Di Wu
Arnaud Zinflou
Stephane Dellacherie
Mouhamadou Makhtar Dione
Benoit Boulet
AI4TS
17
0
0
20 May 2025
Exploring Graph Representations of Logical Forms for Language Modeling
Exploring Graph Representations of Logical Forms for Language Modeling
Michael Sullivan
AI4CE
12
0
0
20 May 2025
When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty
When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty
Yanzhe Wen
Xunkai Li
Qi Zhang
Zhu Lei
Guang Zeng
Rong-Hua Li
Guoren Wang
22
0
0
20 May 2025
Adverseness vs. Equilibrium: Exploring Graph Adversarial Resilience through Dynamic Equilibrium
Adverseness vs. Equilibrium: Exploring Graph Adversarial Resilience through Dynamic Equilibrium
Xinxin Fan
Wenxiong Chen
Mengfan Li
Wenqi Wei
Ling Liu
AAML
12
0
0
20 May 2025
Event-Driven Dynamic Scene Depth Completion
Event-Driven Dynamic Scene Depth Completion
Zhiqiang Yan
Jianhao Jiao
Zhengxue Wang
Gim Hee Lee
3DV
17
0
0
19 May 2025
Self-Reinforced Graph Contrastive Learning
Self-Reinforced Graph Contrastive Learning
Chou-Ying Hsieh
Chun-Fu Jang
Cheng-En Hsieh
Qian-Hui Chen
Sy-Yen Kuo
19
0
0
19 May 2025
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs
Le Cheng
Peican Zhu
Yangming Guo
Chao Gao
Zhen Wang
Keke Tang
Mamba
28
0
0
19 May 2025
Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
Adrien Lagesse
Marc Lelarge
22
0
0
19 May 2025
Learning (Approximately) Equivariant Networks via Constrained Optimization
Learning (Approximately) Equivariant Networks via Constrained Optimization
Andrei Manolache
Luiz F.O. Chamon
Mathias Niepert
12
0
0
19 May 2025
Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach
Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach
Hao Fang
Kai Huang
Hao Ye
Chongtao Guo
Le Liang
Xiao Li
Shi Jin
17
0
0
19 May 2025
Multi-Level Monte Carlo Training of Neural Operators
Multi-Level Monte Carlo Training of Neural Operators
James Rowbottom
Stefania Fresca
Pietro Lio
Carola-Bibiane Schönlieb
Nicolas Boullé
AI4CE
12
0
0
19 May 2025
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
Zhichen Zeng
Ruizhong Qiu
Wenxuan Bao
Tianxin Wei
Xiao Lin
Yuchen Yan
Tarek Abdelzaher
Jiawei Han
Hanghang Tong
OOD
AI4CE
17
0
0
19 May 2025
Adaptive Graph Unlearning
Adaptive Graph Unlearning
Pengfei Ding
Yan Wang
Guanfeng Liu
Jiajie Zhu
MU
28
0
0
19 May 2025
HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion
HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion
Le Cheng
Peican Zhu
Yangming Guo
Keke Tang
Chao Gao
Zhen Wang
7
0
0
19 May 2025
GraphFLEx: Structure Learning Framework for Large Expanding Graphs
GraphFLEx: Structure Learning Framework for Large Expanding Graphs
Mohit Kataria
Nikita Malik
Sandeep Kumar
Jayadeva
GNN
36
0
0
18 May 2025
It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph
It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph
Harel Mendelman
Haggai Maron
Ronen Talmon
17
0
0
18 May 2025
SenseFlow: A Physics-Informed and Self-Ensembling Iterative Framework for Power Flow Estimation
SenseFlow: A Physics-Informed and Self-Ensembling Iterative Framework for Power Flow Estimation
Zhen Zhao
Wenqi Huang
Zicheng Wang
Jiaxuan Hou
Peng Li
Lei Bai
22
0
0
18 May 2025
MMS-VPR: Multimodal Street-Level Visual Place Recognition Dataset and Benchmark
MMS-VPR: Multimodal Street-Level Visual Place Recognition Dataset and Benchmark
Yiwei Ou
Xiaobin Ren
Ronggui Sun
Guansong Gao
Ziyi Jiang
Kaiqi Zhao
Manfredo Manfredini
6
0
0
18 May 2025
Generative and Contrastive Graph Representation Learning
Generative and Contrastive Graph Representation Learning
Jiali Chen
Avijit Mukherjee
SSL
12
0
0
17 May 2025
MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph
MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph
Chang Liu
Huan Yan
Hongjie Sui
Haomin Wen
Yuan Yuan
Yuyang Han
Hongsen Liao
Xuetao Ding
Jinghua Hao
Yong Li
12
1
0
17 May 2025
Relation-Aware Graph Foundation Model
Relation-Aware Graph Foundation Model
Jianxiang Yu
Jiapeng Zhu
Hao Qian
Ziqi Liu
Zhiqiang Zhang
Xiang Li
22
0
0
17 May 2025
Covariance Density Neural Networks
Covariance Density Neural Networks
Om Roy
Yashar Moshfeghi
Keith Smith
BDL
40
0
0
16 May 2025
Relational Graph Transformer
Relational Graph Transformer
Vijay Prakash Dwivedi
Sri Jaladi
Yangyi Shen
Federico López
Charilaos I. Kanatsoulis
Rishi Puri
Matthias Fey
Jure Leskovec
32
0
0
16 May 2025
Graph and Simplicial Complex Prediction Gaussian Process via the Hodgelet Representations
Graph and Simplicial Complex Prediction Gaussian Process via the Hodgelet Representations
Mathieu Alain
So Takao
Xiaowen Dong
Bastian Rieck
Emmanuel Noutahi
21
0
0
16 May 2025
Nearest Neighbor Multivariate Time Series Forecasting
Nearest Neighbor Multivariate Time Series Forecasting
Huiliang Zhang
Ping Nie
Lijun Sun
Benoit Boulet
AI4TS
20
1
0
16 May 2025
What Can We Learn From MIMO Graph Convolutions?
What Can We Learn From MIMO Graph Convolutions?
Andreas Roth
Thomas Liebig
19
0
0
16 May 2025
Finding Counterfactual Evidences for Node Classification
Finding Counterfactual Evidences for Node Classification
Dazhuo Qiu
Jinwen Chen
Arijit Khan
Yan Zhao
Francesco Bonchi
CML
33
0
0
16 May 2025
Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning
Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning
Wenhao Ding
Choon Hwai Yap
Kangjun Ji
Simão Castro
14
0
0
15 May 2025
Learning Repetition-Invariant Representations for Polymer Informatics
Learning Repetition-Invariant Representations for Polymer Informatics
Yihan Zhu
Gang Liu
Eric Inae
Tengfei Luo
Meng Jiang
19
0
0
15 May 2025
Negative Metric Learning for Graphs
Negative Metric Learning for Graphs
Yiyang Zhao
Chengpei Wu
Lilin Zhang
Ning Yang
26
0
0
15 May 2025
Schreier-Coset Graph Propagation
Schreier-Coset Graph Propagation
Aryan Mishra
Lizhen Lin
42
0
0
15 May 2025
FRET: Feature Redundancy Elimination for Test Time Adaptation
FRET: Feature Redundancy Elimination for Test Time Adaptation
Linjing You
Jiabao Lu
Xiayuan Huang
Xiangli Nie
19
0
0
15 May 2025
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
Cunlai Pu
Fangrui Wu
Rajput Ramiz Sharafat
Guangzhao Dai
Xiangbo Shu
21
0
0
14 May 2025
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing
Yezi Liu
Prathyush Poduval
Wenjun Huang
Yang Ni
Hanning Chen
Mohsen Imani
MU
45
0
0
14 May 2025
Efficient Mixed Precision Quantization in Graph Neural Networks
Efficient Mixed Precision Quantization in Graph Neural Networks
Samir Moustafa
Nils M. Kriege
Wilfried Gansterer
GNN
MQ
40
0
0
14 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
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