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 / 7,884 papers shown
Title
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through
  Mixture of Experts
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts
Zelin Yao
Chuang Liu
Xianke Meng
Yibing Zhan
Hongzhi Zhang
Shirui Pan
Wenbin Hu
51
2
0
05 Nov 2024
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural
  Networks
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks
Jinyin Chen
Haonan Ma
Haibin Zheng
DiffM
AAML
37
0
0
05 Nov 2024
Query-Efficient Adversarial Attack Against Vertical Federated Graph
  Learning
Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning
Jinyin Chen
Wenbo Mu
Luxin Zhang
Guohan Huang
Haibin Zheng
Yao Cheng
FedML
AAML
51
0
0
05 Nov 2024
Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis
  with Concurrency Hypothesis
Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis
Xiwen Chen
Sayed Pedram Haeri Boroujeni
Xin Shu
Huayu Li
Abolfazl Razi
GNN
45
1
0
04 Nov 2024
Federated GNNs for EEG-Based Stroke Assessment
Federated GNNs for EEG-Based Stroke Assessment
Andrea Protani
Lorenzo Giusti
Albert Sund Aillet
Simona Sacco
Paolo Manganotti
...
Pierpaolo Brutti
Pietro Caliandro
Luigi Serio
Pietro Caliandro
Luigi Serio
FedML
37
0
0
04 Nov 2024
Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt
  Learning
Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning
Zhuoning Guo
Ruiqian Han
Hao Liu
FedML
44
0
0
04 Nov 2024
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph
  Attention Networks Clustering
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering
A. M. Adityaja
Saurabh J. Shigwan
Nitin Kumar
MedIm
53
1
0
04 Nov 2024
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for
  Community Detection
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection
Anran Zhang
Xingfen Wang
Yuhan Zhao
45
0
0
04 Nov 2024
Exploring Optimal Transport-Based Multi-Grained Alignments for
  Text-Molecule Retrieval
Exploring Optimal Transport-Based Multi-Grained Alignments for Text-Molecule Retrieval
Zijun Min
Bingshuai Liu
Li Zhang
Jia Song
Jinsong Su
Song He
Xiaochen Bo
OT
84
1
0
04 Nov 2024
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A
  Novel Approach
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach
Shelei Li
Yong Chai Tan
Tai Vincent
49
0
0
04 Nov 2024
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
Jincheng Huang
Yujie Mo
Xiaoshuang Shi
Lei Feng
Xiaofeng Zhu
44
0
0
04 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks
GraphXAIN: Narratives to Explain Graph Neural Networks
Mateusz Cedro
David Martens
73
0
0
04 Nov 2024
Integrating Graph Neural Networks and Many-Body Expansion Theory for
  Potential Energy Surfaces
Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces
Siqi Chen
Zhiqiang Wang
Xianqi Deng
Yili Shen
C. Ju
...
Lin Xiong
Guo Ling
Dieaa Alhmoud
Hui Guan
Zhou Lin
48
0
0
03 Nov 2024
PageRank Bandits for Link Prediction
PageRank Bandits for Link Prediction
Yikun Ban
Jiaru Zou
Zihao Li
Yunzhe Qi
Dongqi Fu
Jian Kang
Hanghang Tong
Jingrui He
57
4
0
03 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
Yahel Jacobs
Reut Dayan
Uri Shaham
57
0
0
03 Nov 2024
Negative-Free Self-Supervised Gaussian Embedding of Graphs
Negative-Free Self-Supervised Gaussian Embedding of Graphs
Yunhui Liu
Tieke He
Tao Zheng
Jianhua Zhao
SSL
61
2
0
02 Nov 2024
BinEnhance: An Enhancement Framework Based on External Environment
  Semantics for Binary Code Search
BinEnhance: An Enhancement Framework Based on External Environment Semantics for Binary Code Search
Yongpan Wang
Hong Li
Xiaojie Zhu
Siyuan Li
Chaopeng Dong
Shouguo Yang
Kangyuan Qin
49
1
0
02 Nov 2024
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time
  Series: Architecture and Application to ICU Patient Data
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data
Óscar Escudero-Arnanz
C. Soguero-Ruíz
Antonio G. Marques
AI4TS
46
0
0
01 Nov 2024
An unified approach to link prediction in collaboration networks
An unified approach to link prediction in collaboration networks
Juan Sosa
Diego Martínez
Nicolás Guerrero
41
0
0
01 Nov 2024
Rethinking Node Representation Interpretation through Relation Coherence
Rethinking Node Representation Interpretation through Relation Coherence
Ying-Chun Lin
Jennifer Neville
Cassiano Becker
Purvanshi Metha
Nabiha Asghar
Vipul Agarwal
39
0
0
01 Nov 2024
Strongly Topology-preserving GNNs for Brain Graph Super-resolution
Strongly Topology-preserving GNNs for Brain Graph Super-resolution
Pragya Singh
Islem Rekik
36
0
0
01 Nov 2024
MBExplainer: Multilevel bandit-based explanations for downstream models
  with augmented graph embeddings
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings
Ashkan Golgoon
Ryan Franks
Khashayar Filom
Arjun Ravi Kannan
64
0
0
01 Nov 2024
Topology-Aware Graph Augmentation for Predicting Clinical Trajectories
  in Neurocognitive Disorders
Topology-Aware Graph Augmentation for Predicting Clinical Trajectories in Neurocognitive Disorders
Qianqian Wang
Wei Wang
Yuqi Fang
Hong-Jun Li
Andrea Bozoki
Mingxia Liu
MedIm
36
0
0
31 Oct 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for
  Recommendation
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
Weiqin Yang
Jiawei Chen
Xin Xin
Sheng Zhou
Binbin Hu
Yan Feng
Chong Chen
Can Wang
84
2
0
31 Oct 2024
Reducing Oversmoothing through Informed Weight Initialization in Graph
  Neural Networks
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks
Dimitrios Kelesis
Dimitris Fotakis
George Giannakopoulos
78
0
0
31 Oct 2024
Human Action Recognition (HAR) Using Skeleton-based Spatial Temporal
  Relative Transformer Network: ST-RTR
Human Action Recognition (HAR) Using Skeleton-based Spatial Temporal Relative Transformer Network: ST-RTR
Faisal Mehmood
Enqing Chen
Touqeer Abbas
Samah M. Alzanin
47
0
0
31 Oct 2024
Exploring Consistency in Graph Representations:from Graph Kernels to
  Graph Neural Networks
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks
Xuyuan Liu
Yinghao Cai
Qihui Yang
Yujun Yan
43
0
0
31 Oct 2024
Towards Dynamic Message Passing on Graphs
Towards Dynamic Message Passing on Graphs
Junshu Sun
Chenxue Yang
Xiangyang Ji
Qingming Huang
Shuhui Wang
55
1
0
31 Oct 2024
LLaMo: Large Language Model-based Molecular Graph Assistant
LLaMo: Large Language Model-based Molecular Graph Assistant
Jinyoung Park
Minseong Bae
Dohwan Ko
Hyunwoo J. Kim
51
2
0
31 Oct 2024
End-to-End Ontology Learning with Large Language Models
End-to-End Ontology Learning with Large Language Models
Andy Lo
Albert Q. Jiang
Wenda Li
M. Jamnik
38
1
0
31 Oct 2024
Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling
Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling
Chenyu Li
Minghui Zhang
Chuyan Zhang
Yun Gu
38
0
0
31 Oct 2024
Learning for Deformable Linear Object Insertion Leveraging Flexibility
  Estimation from Visual Cues
Learning for Deformable Linear Object Insertion Leveraging Flexibility Estimation from Visual Cues
Mingen Li
Changhyun Choi
52
0
0
30 Oct 2024
Adaptive Network Intervention for Complex Systems: A Hierarchical Graph
  Reinforcement Learning Approach
Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning Approach
Qiliang Chen
Babak Heydari
31
0
0
30 Oct 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
37
2
0
30 Oct 2024
NASM: Neural Anisotropic Surface Meshing
NASM: Neural Anisotropic Surface Meshing
Hongbo Li
Haikuan Zhu
Sikai Zhong
Ningna Wang
Cheng Lin
X. Guo
Shiqing Xin
Wenping Wang
Jing Hua
Z. Zhong
45
0
0
30 Oct 2024
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors
  for Extra-Long-Term Traffic Forecasting
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting
Zhiwei Zhang
Shaojun E
Fandong Meng
Jie Zhou
Wenjuan Han
53
1
0
30 Oct 2024
PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection
  and Natural Language Interpretation
PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation
Ryozo Masukawa
Sanggeon Yun
Yoshiki Yamaguchi
Mohsen Imani
36
1
0
30 Oct 2024
Are Large-Language Models Graph Algorithmic Reasoners?
Are Large-Language Models Graph Algorithmic Reasoners?
Alexander K. Taylor
Anthony Cuturrufo
Vishal Yathish
Mingyu Derek Ma
Wei Wang
LRM
79
0
0
29 Oct 2024
Scalable Message Passing Neural Networks: No Need for Attention in Large
  Graph Representation Learning
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning
Haitz Sáez de Ocáriz Borde
Artem Lukoianov
Anastasis Kratsios
Michael M. Bronstein
Xiaowen Dong
GNN
48
1
0
29 Oct 2024
Node Regression on Latent Position Random Graphs via Local Averaging
Node Regression on Latent Position Random Graphs via Local Averaging
Martin Gjorgjevski
Nicolas Keriven
Simon Barthelmé
Yohann De Castro
21
1
0
29 Oct 2024
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting
Bo Jiang
Hao Wu
Beibei Wang
Jin Tang
Bin Luo
40
0
0
29 Oct 2024
A Hierarchical Language Model For Interpretable Graph Reasoning
A Hierarchical Language Model For Interpretable Graph Reasoning
Sambhav Khurana
Xiner Li
Shurui Gui
Shuiwang Ji
LRM
52
0
0
29 Oct 2024
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural
  Networks
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks
Yuntian He
Pranav Maneriker
Anutam Srinivasan
Aditya T. Vadlamani
Srinivasan Parthasarathy
42
0
0
28 Oct 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
47
2
0
28 Oct 2024
Detecting Malicious Accounts in Web3 through Transaction Graph
Detecting Malicious Accounts in Web3 through Transaction Graph
Wenkai Li
Zhijie Liu
Xiaoqi Li
Sen Nie
GNN
41
19
0
28 Oct 2024
Graph Neural Networks on Discriminative Graphs of Words
Graph Neural Networks on Discriminative Graphs of Words
Yassine Abbahaddou
J. Lutzeyer
Michalis Vazirgiannis
31
0
0
27 Oct 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection:
  Limitations and a Simple Remedy
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
Sunwoo Kim
Soo Yong Lee
Fanchen Bu
Shinhwan Kang
Kyungho Kim
Jaemin Yoo
Kijung Shin
44
1
0
27 Oct 2024
Domain Specific Data Distillation and Multi-modal Embedding Generation
Domain Specific Data Distillation and Multi-modal Embedding Generation
Sharadind Peddiraju
Srini Rajagopal
26
0
0
27 Oct 2024
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for
  Graph Anomaly Detection
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection
Hwan Kim
Junghoon Kim
Sungsu Lim
39
0
0
27 Oct 2024
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node
  Classification
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification
Xiaoxue Han
Huzefa Rangwala
Yue Ning
BDL
OOD
CML
50
0
0
27 Oct 2024
Previous
123...151617...156157158
Next