Conformalized Link Prediction on Graph Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Tianyi, Kang, Jian, Cheng, Lu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Residual Reweighted Conformal Prediction for Graph Neural Networks
by: Zhang, Zheng, et al.
Published: (2025)
by: Zhang, Zheng, et al.
Published: (2025)
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
by: Akansha, S.
Published: (2024)
by: Akansha, S.
Published: (2024)
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
by: Sattar, Asma, et al.
Published: (2024)
by: Sattar, Asma, et al.
Published: (2024)
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
by: Akansha, S.
Published: (2024)
by: Akansha, S.
Published: (2024)
LiGNN: Graph Neural Networks at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)
by: Borisyuk, Fedor, et al.
Published: (2024)
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
by: Wang, Ting, et al.
Published: (2025)
by: Wang, Ting, et al.
Published: (2025)
Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion
by: Nie, Tong, et al.
Published: (2025)
by: Nie, Tong, et al.
Published: (2025)
Causal Graph Neural Networks for Wildfire Danger Prediction
by: Zhao, Shan, et al.
Published: (2024)
by: Zhao, Shan, et al.
Published: (2024)
Explainable Global Wildfire Prediction Models using Graph Neural Networks
by: Chen, Dayou, et al.
Published: (2024)
by: Chen, Dayou, et al.
Published: (2024)
Bridging Theory and Practice in Link Representation with Graph Neural Networks
by: Lachi, Veronica, et al.
Published: (2025)
by: Lachi, Veronica, et al.
Published: (2025)
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction
by: Zhang, Juzheng, et al.
Published: (2024)
by: Zhang, Juzheng, et al.
Published: (2024)
Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction
by: Zhao, Zexing, et al.
Published: (2024)
by: Zhao, Zexing, et al.
Published: (2024)
Graph Attention-based Adaptive Transfer Learning for Link Prediction
by: Lu, Huashen, et al.
Published: (2025)
by: Lu, Huashen, et al.
Published: (2025)
Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
by: Davila, Randy, et al.
Published: (2025)
by: Davila, Randy, et al.
Published: (2025)
Rethinking Link Prediction for Directed Graphs
by: He, Mingguo, et al.
Published: (2025)
by: He, Mingguo, et al.
Published: (2025)
STAG-CN: Spatio-Temporal Apiary Graph Convolutional Network for Disease Onset Prediction in Beehive Sensor Networks
by: Kang, Sungwoo
Published: (2026)
by: Kang, Sungwoo
Published: (2026)
Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions
by: Zheng, Wenjie, et al.
Published: (2022)
by: Zheng, Wenjie, et al.
Published: (2022)
Certifiably Byzantine-Robust Federated Conformal Prediction
by: Kang, Mintong, et al.
Published: (2024)
by: Kang, Mintong, et al.
Published: (2024)
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
by: Liu, Yang, et al.
Published: (2023)
by: Liu, Yang, et al.
Published: (2023)
HT-GNN: Hyper-Temporal Graph Neural Network for Customer Lifetime Value Prediction in Baidu Ads
by: Zhao, Xiaohui, et al.
Published: (2026)
by: Zhao, Xiaohui, et al.
Published: (2026)
Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
by: Lischka, Attila, et al.
Published: (2025)
by: Lischka, Attila, et al.
Published: (2025)
Faithful Interpretation for Graph Neural Networks
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction
by: Qin, Zongyue, et al.
Published: (2025)
by: Qin, Zongyue, et al.
Published: (2025)
MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction
by: Wu, Mei, et al.
Published: (2025)
by: Wu, Mei, et al.
Published: (2025)
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
by: Kang, Qiyu, et al.
Published: (2024)
by: Kang, Qiyu, et al.
Published: (2024)
LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
by: Du, Lin, et al.
Published: (2025)
by: Du, Lin, et al.
Published: (2025)
Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks
by: Dai, Jiazhu, et al.
Published: (2025)
by: Dai, Jiazhu, et al.
Published: (2025)
BeMap: Balanced Message Passing for Fair Graph Neural Network
by: Lin, Xiao, et al.
Published: (2023)
by: Lin, Xiao, et al.
Published: (2023)
Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph
by: Boll, Heloisa Oss, et al.
Published: (2024)
by: Boll, Heloisa Oss, et al.
Published: (2024)
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
by: Zhang, He, et al.
Published: (2022)
by: Zhang, He, et al.
Published: (2022)
YZS-model: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention
by: Wang, Chenxu, et al.
Published: (2024)
by: Wang, Chenxu, et al.
Published: (2024)
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services
by: Li, Zhao, et al.
Published: (2024)
by: Li, Zhao, et al.
Published: (2024)
LiSA: Leveraging Link Recommender to Attack Graph Neural Networks via Subgraph Injection
by: Zhang, Wenlun, et al.
Published: (2025)
by: Zhang, Wenlun, et al.
Published: (2025)
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
by: Wang, Yilong, et al.
Published: (2025)
by: Wang, Yilong, et al.
Published: (2025)
SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks
by: Huang, Zhenhua, et al.
Published: (2024)
by: Huang, Zhenhua, et al.
Published: (2024)
UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction
by: Yu, Dahai, et al.
Published: (2025)
by: Yu, Dahai, et al.
Published: (2025)
PathMoG: A Pathway-Centric Modular Graph Neural Network for Multi-Omics Survival Prediction
by: Wang, Di, et al.
Published: (2026)
by: Wang, Di, et al.
Published: (2026)
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds
by: Cheng, Wuxinlin, et al.
Published: (2024)
by: Cheng, Wuxinlin, et al.
Published: (2024)
STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
by: Ghaffari, Amirhossein, et al.
Published: (2025)
by: Ghaffari, Amirhossein, et al.
Published: (2025)
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
by: Zhang, Xiaohui, et al.
Published: (2024)
by: Zhang, Xiaohui, et al.
Published: (2024)
Similar Items
-
Residual Reweighted Conformal Prediction for Graph Neural Networks
by: Zhang, Zheng, et al.
Published: (2025) -
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
by: Akansha, S.
Published: (2024) -
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
by: Sattar, Asma, et al.
Published: (2024) -
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
by: Akansha, S.
Published: (2024) -
LiGNN: Graph Neural Networks at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)