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Link Prediction Based on Graph Neural Networks
v1v2v3 (latest)

Link Prediction Based on Graph Neural Networks

Neural Information Processing Systems (NeurIPS), 2018
27 February 2018
Muhan Zhang
Yixin Chen
    GNN
ArXiv (abs)PDFHTML

Papers citing "Link Prediction Based on Graph Neural Networks"

50 / 882 papers shown
Title
Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation
Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation
Lian Shen
Zhendan Chen
Yinhui jiang
Meijia Song
Ziming Su
Juan Liu
Xiangrong Liu
32
0
0
25 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
32
0
0
22 Nov 2025
Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
Jiayi Luo
Qingyun Sun
Yuecen Wei
Haonan Yuan
Xingcheng Fu
Jianxin Li
28
0
0
22 Nov 2025
Continual Learning of Domain Knowledge from Human Feedback in Text-to-SQL
Continual Learning of Domain Knowledge from Human Feedback in Text-to-SQL
Thomas Cook
Kelly Patel
Sivapriya Vellaichamy
Saba Rahimi
Zhen Zeng
Sumitra Ganesh
Sumitra Ganesh
LLMAG
192
0
0
10 Nov 2025
CGLE: Class-label Graph Link Estimator for Link Prediction
CGLE: Class-label Graph Link Estimator for Link Prediction
Ankit Mazumder
Srikanta Bedathur
108
0
0
10 Nov 2025
Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity
Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity
João Mattos
Debolina Halder Lina
A. Silva
144
0
0
09 Nov 2025
IVGAE-TAMA-BO: A novel temporal dynamic variational graph model for link prediction in global food trade networks with momentum structural memory and Bayesian optimization
IVGAE-TAMA-BO: A novel temporal dynamic variational graph model for link prediction in global food trade networks with momentum structural memory and Bayesian optimization
Sicheng Wang
Shuhao Chen
Jingran Zhou
Chengyi Tu
32
0
0
03 Nov 2025
Bridging the Divide: End-to-End Sequence-Graph Learning
Bridging the Divide: End-to-End Sequence-Graph Learning
Yuen Chen
Yulun Wu
Samuel Sharpe
Igor Melnyk
Nam Nguyen
Furong Huang
C. Bayan Bruss
Rizal Fathony
70
0
0
29 Oct 2025
WBT-BGRL: A Non-Contrastive Weighted Bipartite Link Prediction Model for Inductive Learning
WBT-BGRL: A Non-Contrastive Weighted Bipartite Link Prediction Model for Inductive Learning
Joel Frank Huarayo Quispe
Lilian Berton
Didier Vega-Oliveros
40
0
0
28 Oct 2025
Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers
Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers
Dongyi Liu
Jiangtong Li
Dawei Cheng
Changjun Jiang
AAML
80
0
0
26 Oct 2025
Does Homophily Help in Robust Test-time Node Classification?
Does Homophily Help in Robust Test-time Node Classification?
Yan Jiang
Ruihong Qiu
Zi Huang
72
0
0
25 Oct 2025
A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning
A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning
Yang Xiang
Li Fan
Chenke Yin
Chengtao Ji
56
0
0
14 Oct 2025
Higher-order interactions of multi-layer prompt
Higher-order interactions of multi-layer prompt
Ziyu Zheng
Yaming Yang
Ziyu Guan
Wei Zhao
Xinyan Huang
Weigang Lu
LRMAI4CE
134
0
0
10 Oct 2025
Multivariate Bernoulli Hoeffding Decomposition: From Theory to Sensitivity Analysis
Multivariate Bernoulli Hoeffding Decomposition: From Theory to Sensitivity Analysis
Baptiste Ferrere
Nicolas Bousquet
Fabrice Gamboa
Jean-Michel Loubes
Joseph Muré
117
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0
08 Oct 2025
ASPO: Asymmetric Importance Sampling Policy Optimization
ASPO: Asymmetric Importance Sampling Policy Optimization
Jiakang Wang
Runze Liu
Lei Lin
Wenping Hu
Xiu Li
Fuzheng Zhang
Guorui Zhou
Kun Gai
83
0
0
07 Oct 2025
ICEPool: Enhancing Graph Pooling Networks with Inter-cluster Connectivity
ICEPool: Enhancing Graph Pooling Networks with Inter-cluster Connectivity
Michael Yang
68
0
0
05 Oct 2025
Rebuild AC Power Flow Models with Graph Attention Networks
Rebuild AC Power Flow Models with Graph Attention Networks
Yuting Hu
Jinjun Xiong
84
0
0
25 Sep 2025
Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs
Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs
Michiharu Yamashita
Thanh-Binh Tran
Delvin Ce Zhang
Dongwon Lee
89
0
0
24 Sep 2025
Graph Neural Networks with Similarity-Navigated Probabilistic Feature Copying
Graph Neural Networks with Similarity-Navigated Probabilistic Feature Copying
Asela Hevapathige
88
0
0
23 Sep 2025
Graph Enhanced Trajectory Anomaly Detection
Graph Enhanced Trajectory Anomaly Detection
Jonathan Mbuya
Dieter Pfoser
Antonios Anastasopoulos
88
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0
22 Sep 2025
Anti-Money Laundering Systems Using Deep Learning
Anti-Money Laundering Systems Using Deep Learning
Mashkhal Abdalwahid Sidiq
Yimamu Kirubel Wondaferew
48
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0
18 Sep 2025
An End-to-End Differentiable, Graph Neural Network-Embedded Pore Network Model for Permeability Prediction
An End-to-End Differentiable, Graph Neural Network-Embedded Pore Network Model for Permeability Prediction
Qingqi Zhao
Heng Xiao
49
0
0
17 Sep 2025
The Role of Community Detection Methods in Performance Variations of Graph Mining Tasks
The Role of Community Detection Methods in Performance Variations of Graph Mining Tasks
Shrabani Ghosh
Erik Saule
48
1
0
10 Sep 2025
Learning from one graph: transductive learning guarantees via the geometry of small random worlds
Learning from one graph: transductive learning guarantees via the geometry of small random worlds
Nils Detering
Luca Galimberti
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A. M. Neuman
104
2
0
08 Sep 2025
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
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Lincan Li
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Shirui Pan
Yushun Dong
116
1
0
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Let's Grow an Unbiased Community: Guiding the Fairness of Graphs via New Links
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Jiahua Lu
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Shuotong Bai
Junjie Xu
Renqiang Luo
Enyan Dai
136
0
0
21 Aug 2025
A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
Junwei Su
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DiffM
112
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0
20 Aug 2025
Enhancing Contrastive Link Prediction With Edge Balancing Augmentation
Enhancing Contrastive Link Prediction With Edge Balancing Augmentation
Chen-Hao Chang
Hui-Ju Hung
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Chih-Ya Shen
108
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0
20 Aug 2025
Improving Fairness in Graph Neural Networks via Counterfactual Debiasing
Improving Fairness in Graph Neural Networks via Counterfactual Debiasing
Zengyi Wo
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Y. X. R. Wang
Minglai Shao
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AI4CE
100
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0
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SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer
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Jiayu Fang
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S. Choy
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72
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0
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GTool: Graph Enhanced Tool Planning with Large Language Model
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Wenjie Chen
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Di Yao
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84
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Towards Faithful Class-level Self-explainability in Graph Neural Networks by Subgraph Dependencies
Towards Faithful Class-level Self-explainability in Graph Neural Networks by Subgraph Dependencies
Fanzhen Liu
Xiaoxiao Ma
Jian Yang
A. Abuadbba
Kristen Moore
Surya Nepal
Cécile Paris
Quan Z. Sheng
Jia Wu
112
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15 Aug 2025
A Coarse-to-Fine Human Pose Estimation Method based on Two-stage Distillation and Progressive Graph Neural Network
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Logical Expressivity and Explanations for Monotonic GNNs with Scoring Functions
Logical Expressivity and Explanations for Monotonic GNNs with Scoring Functions
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Meta-learning optimizes predictions of missing links in real-world networks
Meta-learning optimizes predictions of missing links in real-world networks
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Enhancing Rumor Detection Methods with Propagation Structure Infused Language Model
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A Graph-Based Framework for Exploring Mathematical Patterns in Physics: A Proof of Concept
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A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
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Skeleton-Guided Learning for Shortest Path Search
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NAICS-Aware Graph Neural Networks for Large-Scale POI Co-visitation Prediction: A Multi-Modal Dataset and Methodology
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Learning-based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks
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Understanding Generalization in Node and Link Prediction
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NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration
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SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems
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Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols
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