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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 / 883 papers shown
Counting Still Counts: Understanding Neural Complex Query Answering Through Query Relaxation
Counting Still Counts: Understanding Neural Complex Query Answering Through Query Relaxation
Yannick Brunink
Daniel Daza
Yunjie He
Michael Cochez
64
0
0
27 Nov 2025
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
106
1
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
115
1
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
96
1
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
Udari Madhushani Sehwag
Saba Rahimi
Zhen Zeng
Sumitra Ganesh
LLMAG
286
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
163
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
258
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
79
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
125
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
83
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
117
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
152
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
114
0
0
14 Oct 2025
Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph
Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph
Ziyu Zheng
Yaming Yang
Ziyu Guan
Wei Zhao
Xinyan Huang
Weigang Lu
LRMAI4CE
196
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
194
0
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
139
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
131
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
101
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
133
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
149
0
0
23 Sep 2025
Graph Enhanced Trajectory Anomaly Detection
Graph Enhanced Trajectory Anomaly Detection
Jonathan Mbuya
Dieter Pfoser
Antonios Anastasopoulos
188
0
0
22 Sep 2025
Anti-Money Laundering Systems Using Deep Learning
Anti-Money Laundering Systems Using Deep Learning
Mashkhal Abdalwahid Sidiq
Yimamu Kirubel Wondaferew
67
0
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
90
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
65
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
Anastasis Kratsios
Giulia Livieri
A. M. Neuman
181
2
0
08 Sep 2025
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
Lincan Li
Bolin Shen
Chenxi Zhao
Yuxiang Sun
Kaixiang Zhao
Shirui Pan
Yushun Dong
181
1
0
27 Aug 2025
Let's Grow an Unbiased Community: Guiding the Fairness of Graphs via New Links
Let's Grow an Unbiased Community: Guiding the Fairness of Graphs via New Links
Jiahua Lu
Huaxiao Liu
Shuotong Bai
Junjie Xu
Renqiang Luo
Enyan Dai
240
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
Chuan Wu
DiffM
138
0
0
20 Aug 2025
Improving Fairness in Graph Neural Networks via Counterfactual Debiasing
Improving Fairness in Graph Neural Networks via Counterfactual Debiasing
Zengyi Wo
Chang Liu
Y. X. R. Wang
Minglai Shao
Wenjun Wang
AI4CE
158
1
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
Chia-Hsun Lu
Chih-Ya Shen
178
0
0
20 Aug 2025
SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer
SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer
Jiayu Fang
Zhiqi Shao
S. Choy
Junbin Gao
129
0
0
19 Aug 2025
GTool: Graph Enhanced Tool Planning with Large Language Model
GTool: Graph Enhanced Tool Planning with Large Language Model
Wenjie Chen
Wenbin Li
Di Yao
Xuying Meng
Chang Gong
Jingping Bi
131
1
0
18 Aug 2025
A Coarse-to-Fine Human Pose Estimation Method based on Two-stage Distillation and Progressive Graph Neural Network
A Coarse-to-Fine Human Pose Estimation Method based on Two-stage Distillation and Progressive Graph Neural Network
Zhangjian Ji
Wenjin Zhang
Shaotong Qiao
K. Feng
Yuhua Qian
3DH
134
0
0
15 Aug 2025
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
154
1
0
15 Aug 2025
Logical Expressivity and Explanations for Monotonic GNNs with Scoring Functions
Logical Expressivity and Explanations for Monotonic GNNs with Scoring Functions
Matthew Morris
David Tena Cucala
Bernardo Cuenca Grau
140
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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
Bisman Singh
Lucy Van Kleunen
Aaron Clauset
81
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Enhancing Rumor Detection Methods with Propagation Structure Infused Language Model
Enhancing Rumor Detection Methods with Propagation Structure Infused Language ModelInternational Conference on Computational Linguistics (COLING), 2025
Chaoqun Cui
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Caiyan Jia
136
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A Graph-Based Framework for Exploring Mathematical Patterns in Physics: A Proof of Concept
A Graph-Based Framework for Exploring Mathematical Patterns in Physics: A Proof of Concept
Massimiliano Romiti
113
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A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
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Yu Song
Zhigang Hua
Harry Shomer
Yan Xie
Jingzhe Liu
Bo Long
Hui Liu
AI4CE
113
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Skeleton-Guided Learning for Shortest Path Search
Skeleton-Guided Learning for Shortest Path Search
Tiantian Liu
Xiao Li
Huan Li
Hua Lu
Christian S. Jensen
Jianliang Xu
65
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NAICS-Aware Graph Neural Networks for Large-Scale POI Co-visitation Prediction: A Multi-Modal Dataset and Methodology
NAICS-Aware Graph Neural Networks for Large-Scale POI Co-visitation Prediction: A Multi-Modal Dataset and Methodology
Yazeed Alrubyli
Omar Alomeir
Abrar Wafa
Diána Hidvégi
Hend Alrasheed
Mohsen Bahrami
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143
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Ralts: Robust Aggregation for Enhancing Graph Neural Network Resilience on Bit-flip Errors
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Wencheng Zou
Nan Wu
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168
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Learning-based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks
Learning-based Privacy-Preserving Graph Publishing Against Sensitive Link Inference AttacksIEEE Transactions on Information Forensics and Security (TIFS), 2025
Yucheng Wu
Yuncong Yang
Xiao Han
Leye Wang
Junjie Wu
189
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0
23 Jul 2025
A Comprehensive Data-centric Overview of Federated Graph Learning
A Comprehensive Data-centric Overview of Federated Graph Learning
Zhengyu Wu
X. Li
Yinlin Zhu
Zekai Chen
Guochen Yan
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Hao Zhang
Yuming Ai
X. Jin
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Guoren Wang
FedMLAI4CE
280
2
0
22 Jul 2025
Research on the application of graph data structure and graph neural network in node classification/clustering tasks
Research on the application of graph data structure and graph neural network in node classification/clustering tasks
Yihan Wang
Jianing Zhao
GNN
127
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0
20 Jul 2025
Understanding Generalization in Node and Link Prediction
Understanding Generalization in Node and Link Prediction
Antonis Vasileiou
Timo Stoll
Christopher Morris
AI4CE
295
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0
01 Jul 2025
NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration
NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration
Yan Jiang
Hao Zhou
LiZhong GU
Ai Han
TianLong Li
202
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0
24 Jun 2025
SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems
SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender SystemsInternational Conference on the Theory of Information Retrieval (ICTIR), 2025
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Tin T. Tran
135
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Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution
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Lanning Wei
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Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics
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André Alcalde
Bernhard Sick
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263
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