Saved in:
| Main Authors: | Long, Yunbo, Xu, Liming, Brintrup, Alexandra |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.12156 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion
by: Long, Yunbo, et al.
Published: (2025)
by: Long, Yunbo, et al.
Published: (2025)
Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation
by: Long, Yunbo, et al.
Published: (2025)
by: Long, Yunbo, et al.
Published: (2025)
Random Walk Guided Hyperbolic Graph Distillation
by: Long, Yunbo, et al.
Published: (2025)
by: Long, Yunbo, et al.
Published: (2025)
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data
by: Long, Yunbo, et al.
Published: (2025)
by: Long, Yunbo, et al.
Published: (2025)
Privacy-Preserving Graph Embedding based on Local Differential Privacy
by: Li, Zening, et al.
Published: (2023)
by: Li, Zening, et al.
Published: (2023)
Disentangled Condensation for Large-scale Graphs
by: Xiao, Zhenbang, et al.
Published: (2024)
by: Xiao, Zhenbang, et al.
Published: (2024)
GravityGraphSAGE: Link Prediction in Directed Attributed Graphs
by: Porcedda, Riccardo, et al.
Published: (2026)
by: Porcedda, Riccardo, et al.
Published: (2026)
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
by: Zhang, Xiaohui, et al.
Published: (2024)
by: Zhang, Xiaohui, et al.
Published: (2024)
Link Prediction with Physics-Inspired Graph Neural Networks
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2024)
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2024)
Diffusion-based Negative Sampling on Graphs for Link Prediction
by: Nguyen, Trung-Kien, et al.
Published: (2024)
by: Nguyen, Trung-Kien, et al.
Published: (2024)
Temporal Link Prediction Using Graph Embedding Dynamics
by: Fard, Sanaz Hasanzadeh, et al.
Published: (2024)
by: Fard, Sanaz Hasanzadeh, et al.
Published: (2024)
Simple Graph Condensation
by: Xiao, Zhenbang, et al.
Published: (2024)
by: Xiao, Zhenbang, et al.
Published: (2024)
Graph Data Condensation via Self-expressive Graph Structure Reconstruction
by: Liu, Zhanyu, et al.
Published: (2024)
by: Liu, Zhanyu, et al.
Published: (2024)
A Community-Enhanced Graph Representation Model for Link Prediction
by: Wang, Lei, et al.
Published: (2025)
by: Wang, Lei, et al.
Published: (2025)
Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
by: Kim, Junghun, et al.
Published: (2024)
by: Kim, Junghun, et al.
Published: (2024)
Privacy-Preserving Multimodal News Recommendation through Federated Learning
by: Khalaj, Mehdi, et al.
Published: (2025)
by: Khalaj, Mehdi, et al.
Published: (2025)
Scalable Graph Condensation with Evolving Capabilities
by: Gong, Shengbo, et al.
Published: (2025)
by: Gong, Shengbo, et al.
Published: (2025)
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data
by: Yuan, Hanyang, et al.
Published: (2024)
by: Yuan, Hanyang, et al.
Published: (2024)
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
by: Wang, Zixiao, et al.
Published: (2022)
by: Wang, Zixiao, et al.
Published: (2022)
CORE: Data Augmentation for Link Prediction via Information Bottleneck
by: Dong, Kaiwen, et al.
Published: (2024)
by: Dong, Kaiwen, et al.
Published: (2024)
GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs
by: Wang, Hewen, et al.
Published: (2025)
by: Wang, Hewen, et al.
Published: (2025)
How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs
by: Perez, Mathilde, et al.
Published: (2026)
by: Perez, Mathilde, et al.
Published: (2026)
P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
by: Wang, Zheng, et al.
Published: (2024)
by: Wang, Zheng, et al.
Published: (2024)
FedGraph-VASP: Privacy-Preserving Federated Graph Learning with Post-Quantum Security for Cross-Institutional Anti-Money Laundering
by: Commey, Daniel, et al.
Published: (2026)
by: Commey, Daniel, et al.
Published: (2026)
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks
by: Guo, Xiao, et al.
Published: (2023)
by: Guo, Xiao, et al.
Published: (2023)
Topological Federated Clustering via Gravitational Potential Fields under Local Differential Privacy
by: Long, Yunbo, et al.
Published: (2025)
by: Long, Yunbo, et al.
Published: (2025)
Statistical Guarantees for Link Prediction using Graph Neural Networks
by: Chung, Alan, et al.
Published: (2024)
by: Chung, Alan, et al.
Published: (2024)
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
by: Lee, Dongjin, et al.
Published: (2023)
by: Lee, Dongjin, et al.
Published: (2023)
Efficient Heterogeneous Graph Learning via Random Projection
by: Hu, Jun, et al.
Published: (2023)
by: Hu, Jun, et al.
Published: (2023)
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance
by: Minici, Marco, et al.
Published: (2024)
by: Minici, Marco, et al.
Published: (2024)
Spiking Graph Predictive Coding for Reliable OOD Generalization
by: Ren, Jing, et al.
Published: (2026)
by: Ren, Jing, et al.
Published: (2026)
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction
by: Sajadi, Nafiseh Sadat, et al.
Published: (2026)
by: Sajadi, Nafiseh Sadat, et al.
Published: (2026)
BicliqueEncoder: An Efficient Method for Link Prediction in Bipartite Networks using Formal Concept Analysis and Transformer Encoder
by: Yang, Hongyuan, et al.
Published: (2025)
by: Yang, Hongyuan, et al.
Published: (2025)
HyperQuery: Beyond Binary Link Prediction
by: Maleki, Sepideh, et al.
Published: (2025)
by: Maleki, Sepideh, et al.
Published: (2025)
InfraredGP: Efficient Graph Partitioning via Spectral Graph Neural Networks with Negative Corrections
by: Qin, Meng, et al.
Published: (2025)
by: Qin, Meng, et al.
Published: (2025)
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
by: Zhang, Sen, et al.
Published: (2025)
by: Zhang, Sen, et al.
Published: (2025)
Fairness and/or Privacy on Social Graphs
by: Surma, Bartlomiej, et al.
Published: (2025)
by: Surma, Bartlomiej, et al.
Published: (2025)
Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods
by: Liang, Shuming, et al.
Published: (2024)
by: Liang, Shuming, et al.
Published: (2024)
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
by: Subramonian, Arjun, et al.
Published: (2023)
by: Subramonian, Arjun, et al.
Published: (2023)
Node Duplication Improves Cold-start Link Prediction
by: Guo, Zhichun, et al.
Published: (2024)
by: Guo, Zhichun, et al.
Published: (2024)
Similar Items
-
LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion
by: Long, Yunbo, et al.
Published: (2025) -
Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation
by: Long, Yunbo, et al.
Published: (2025) -
Random Walk Guided Hyperbolic Graph Distillation
by: Long, Yunbo, et al.
Published: (2025) -
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data
by: Long, Yunbo, et al.
Published: (2025) -
Privacy-Preserving Graph Embedding based on Local Differential Privacy
by: Li, Zening, et al.
Published: (2023)