Higher-order Structure Boosts Link Prediction on Temporal Graphs
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Jingzhe, Hua, Zhigang, Xie, Yan, Li, Bingheng, Shomer, Harry, Song, Yu, Hassani, Kaveh, Tang, Jiliang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
by: Song, Yu, et al.
Published: (2025)
by: Song, Yu, et al.
Published: (2025)
Subgraph Generation for Generalizing on Out-of-Distribution Links
by: Revolinsky, Jay, et al.
Published: (2025)
by: Revolinsky, Jay, et al.
Published: (2025)
Towards Understanding Link Predictor Generalizability Under Distribution Shifts
by: Revolinsky, Jay, et al.
Published: (2024)
by: Revolinsky, Jay, et al.
Published: (2024)
Are Expressive Encoders Necessary for Discrete Graph Generation?
by: Revolinsky, Jay, et al.
Published: (2026)
by: Revolinsky, Jay, et al.
Published: (2026)
Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
by: Shomer, Harry, et al.
Published: (2024)
by: Shomer, Harry, et al.
Published: (2024)
Revisiting Link Prediction: A Data Perspective
by: Mao, Haitao, et al.
Published: (2023)
by: Mao, Haitao, et al.
Published: (2023)
Unveiling Mode Connectivity in Graph Neural Networks
by: Li, Bingheng, et al.
Published: (2025)
by: Li, Bingheng, et al.
Published: (2025)
Sub-graph Based Diffusion Model for Link Prediction
by: Li, Hang, et al.
Published: (2024)
by: Li, Hang, et al.
Published: (2024)
Empowering GraphRAG with Knowledge Filtering and Integration
by: Guo, Kai, et al.
Published: (2025)
by: Guo, Kai, et al.
Published: (2025)
GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning
by: Song, Yu, et al.
Published: (2025)
by: Song, Yu, et al.
Published: (2025)
Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG
by: Guo, Kai, et al.
Published: (2025)
by: Guo, Kai, et al.
Published: (2025)
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
by: Liu, Jingzhe, et al.
Published: (2024)
by: Liu, Jingzhe, et al.
Published: (2024)
A Pure Transformer Pretraining Framework on Text-attributed Graphs
by: Song, Yu, et al.
Published: (2024)
by: Song, Yu, et al.
Published: (2024)
Towards Neural Scaling Laws on Graphs
by: Liu, Jingzhe, et al.
Published: (2024)
by: Liu, Jingzhe, et al.
Published: (2024)
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization
by: Chu, Yucheng, et al.
Published: (2024)
by: Chu, Yucheng, et al.
Published: (2024)
Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation
by: Li, Juanhui, et al.
Published: (2024)
by: Li, Juanhui, et al.
Published: (2024)
LPFormer: An Adaptive Graph Transformer for Link Prediction
by: Shomer, Harry, et al.
Published: (2023)
by: Shomer, Harry, et al.
Published: (2023)
Understanding Generative Recommendation with Semantic IDs from a Model-scaling View
by: Liu, Jingzhe, et al.
Published: (2025)
by: Liu, Jingzhe, et al.
Published: (2025)
Learning Graph Quantized Tokenizers
by: Wang, Limei, et al.
Published: (2024)
by: Wang, Limei, et al.
Published: (2024)
MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited Labels
by: Luo, Tianyang, et al.
Published: (2026)
by: Luo, Tianyang, et al.
Published: (2026)
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
by: Yu, Zhongyi, et al.
Published: (2025)
by: Yu, Zhongyi, et al.
Published: (2025)
Mixture of Link Predictors on Graphs
by: Ma, Li, et al.
Published: (2024)
by: Ma, Li, et al.
Published: (2024)
When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction
by: Li, Haoyang, et al.
Published: (2025)
by: Li, Haoyang, et al.
Published: (2025)
An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation
by: Han, Haoyu, et al.
Published: (2026)
by: Han, Haoyu, et al.
Published: (2026)
SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction
by: Peng, Miao, et al.
Published: (2022)
by: Peng, Miao, et al.
Published: (2022)
Aggregation-aware MLP: An Unsupervised Approach for Graph Message-passing
by: Xie, Xuanting, et al.
Published: (2025)
by: Xie, Xuanting, et al.
Published: (2025)
Structure Enables Effective Self-Localization of Errors in LLMs
by: Samanta, Ankur, et al.
Published: (2026)
by: Samanta, Ankur, et al.
Published: (2026)
Enhancing Temporal Link Prediction with HierTKG: A Hierarchical Temporal Knowledge Graph Framework
by: Almutairi, Mariam, et al.
Published: (2024)
by: Almutairi, Mariam, et al.
Published: (2024)
STGDPM:Vessel Trajectory Prediction with Spatio-Temporal Graph Diffusion Probabilistic Model
by: Wenzhe, Jin, et al.
Published: (2025)
by: Wenzhe, Jin, 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)
UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction
by: Liu, Zhiqiang, et al.
Published: (2024)
by: Liu, Zhiqiang, et al.
Published: (2024)
Transfer Learning for Temporal Link Prediction
by: Chatterjee, Ayan, et al.
Published: (2025)
by: Chatterjee, Ayan, et al.
Published: (2025)
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction
by: Zhu, Yuqicheng, et al.
Published: (2024)
by: Zhu, Yuqicheng, et al.
Published: (2024)
THOR: Inductive Link Prediction over Hyper-Relational Knowledge Graphs
by: Yu, Weijian, et al.
Published: (2026)
by: Yu, Weijian, et al.
Published: (2026)
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
by: Ma, Qian, et al.
Published: (2024)
by: Ma, Qian, et al.
Published: (2024)
Leveraging Graph Structure in Seq2Seq Models for Knowledge Graph Link Prediction
by: Phuc, Luu Huu, et al.
Published: (2026)
by: Phuc, Luu Huu, et al.
Published: (2026)
Attention Beyond Neighborhoods: Reviving Transformer for Graph Clustering
by: Xie, Xuanting, et al.
Published: (2025)
by: Xie, Xuanting, et al.
Published: (2025)
Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture
by: Shi, Jingze, et al.
Published: (2024)
by: Shi, Jingze, et al.
Published: (2024)
SA-GDA: Spectral Augmentation for Graph Domain Adaptation
by: Pang, Jinhui, et al.
Published: (2024)
by: Pang, Jinhui, et al.
Published: (2024)
When Do Hallucinations Arise? A Graph Perspective on the Evolution of Path Reuse and Path Compression
by: Dai, Xinnan, et al.
Published: (2026)
by: Dai, Xinnan, et al.
Published: (2026)
Similar Items
-
A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
by: Song, Yu, et al.
Published: (2025) -
Subgraph Generation for Generalizing on Out-of-Distribution Links
by: Revolinsky, Jay, et al.
Published: (2025) -
Towards Understanding Link Predictor Generalizability Under Distribution Shifts
by: Revolinsky, Jay, et al.
Published: (2024) -
Are Expressive Encoders Necessary for Discrete Graph Generation?
by: Revolinsky, Jay, et al.
Published: (2026) -
Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
by: Shomer, Harry, et al.
Published: (2024)