GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Song, Yu, Hua, Zhigang, Xie, Yan, Liu, Jingzhe, Long, Bo, Liu, Hui |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
por: Song, Yu, et al.
Publicado: (2025)
por: Song, Yu, et al.
Publicado: (2025)
Higher-order Structure Boosts Link Prediction on Temporal Graphs
por: Liu, Jingzhe, et al.
Publicado: (2025)
por: Liu, Jingzhe, et al.
Publicado: (2025)
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
por: Ma, Qian, et al.
Publicado: (2024)
por: Ma, Qian, et al.
Publicado: (2024)
On the Universality of Self-Supervised Learning
por: Qiang, Wenwen, et al.
Publicado: (2024)
por: Qiang, Wenwen, et al.
Publicado: (2024)
Enhancing Graph Self-Supervised Learning with Graph Interplay
por: Zhao, Xinjian, et al.
Publicado: (2024)
por: Zhao, Xinjian, et al.
Publicado: (2024)
MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited Labels
por: Luo, Tianyang, et al.
Publicado: (2026)
por: Luo, Tianyang, et al.
Publicado: (2026)
Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning
por: Xie, Shifeng, et al.
Publicado: (2025)
por: Xie, Shifeng, et al.
Publicado: (2025)
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations
por: Zhang, Zheng, et al.
Publicado: (2024)
por: Zhang, Zheng, et al.
Publicado: (2024)
Scalable Graph Self-Supervised Learning
por: Pasand, Ali Saheb, et al.
Publicado: (2024)
por: Pasand, Ali Saheb, et al.
Publicado: (2024)
PyG-SSL: A Graph Self-Supervised Learning Toolkit
por: Zheng, Lecheng, et al.
Publicado: (2024)
por: Zheng, Lecheng, et al.
Publicado: (2024)
Distribution Matching for Self-Supervised Transfer Learning
por: Jiao, Yuling, et al.
Publicado: (2025)
por: Jiao, Yuling, et al.
Publicado: (2025)
Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning
por: Jian, Xiangru, et al.
Publicado: (2024)
por: Jian, Xiangru, et al.
Publicado: (2024)
Adaptive Spatio-Temporal Graphs with Self-Supervised Pretraining for Multi-Horizon Weather Forecasting
por: Liu, Yao
Publicado: (2025)
por: Liu, Yao
Publicado: (2025)
Data-Driven Self-Supervised Graph Representation Learning
por: Samy, Ahmed E., et al.
Publicado: (2024)
por: Samy, Ahmed E., et al.
Publicado: (2024)
Robustness of Graph Self-Supervised Learning to Real-World Noise: A Case Study on Text-Driven Biomedical Graphs
por: Kabal, Othmane, et al.
Publicado: (2026)
por: Kabal, Othmane, et al.
Publicado: (2026)
SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning
por: Zhang, Yu, et al.
Publicado: (2025)
por: Zhang, Yu, et al.
Publicado: (2025)
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
por: Xie, Zheng, et al.
Publicado: (2023)
por: Xie, Zheng, et al.
Publicado: (2023)
Towards Neural Scaling Laws on Graphs
por: Liu, Jingzhe, et al.
Publicado: (2024)
por: Liu, Jingzhe, et al.
Publicado: (2024)
Unveiling Mode Connectivity in Graph Neural Networks
por: Li, Bingheng, et al.
Publicado: (2025)
por: Li, Bingheng, et al.
Publicado: (2025)
R1-Ranker: Teaching LLM Rankers to Reason
por: Feng, Tao, et al.
Publicado: (2025)
por: Feng, Tao, et al.
Publicado: (2025)
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
por: Xie, Johnathan, et al.
Publicado: (2024)
por: Xie, Johnathan, et al.
Publicado: (2024)
Understanding Representation Learnability of Nonlinear Self-Supervised Learning
por: Yang, Ruofeng, et al.
Publicado: (2024)
por: Yang, Ruofeng, et al.
Publicado: (2024)
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
por: Wijesinghe, Asiri, et al.
Publicado: (2025)
por: Wijesinghe, Asiri, et al.
Publicado: (2025)
Directional Neural Collapse Explains Few-Shot Transfer in Self-Supervised Learning
por: Luthra, Achleshwar, et al.
Publicado: (2026)
por: Luthra, Achleshwar, et al.
Publicado: (2026)
Clustering Properties of Self-Supervised Learning
por: Weng, Xi, et al.
Publicado: (2025)
por: Weng, Xi, et al.
Publicado: (2025)
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
por: Song, Yumeng, et al.
Publicado: (2023)
por: Song, Yumeng, et al.
Publicado: (2023)
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability
por: Chung, Tsz Ting, et al.
Publicado: (2024)
por: Chung, Tsz Ting, et al.
Publicado: (2024)
Learning Graph Quantized Tokenizers
por: Wang, Limei, et al.
Publicado: (2024)
por: Wang, Limei, et al.
Publicado: (2024)
Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPs
por: Ahn, Seong Jin, et al.
Publicado: (2025)
por: Ahn, Seong Jin, et al.
Publicado: (2025)
Meta-Transfer Learning Powered Temporal Graph Networks for Cross-City Real Estate Appraisal
por: Zhang, Weijia, et al.
Publicado: (2024)
por: Zhang, Weijia, et al.
Publicado: (2024)
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
por: Liu, Jingzhe, et al.
Publicado: (2024)
por: Liu, Jingzhe, et al.
Publicado: (2024)
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design
por: Yan, Zimo, et al.
Publicado: (2025)
por: Yan, Zimo, et al.
Publicado: (2025)
Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses
por: Liu, Hui, et al.
Publicado: (2024)
por: Liu, Hui, et al.
Publicado: (2024)
Exploring Correlations of Self-Supervised Tasks for Graphs
por: Fang, Taoran, et al.
Publicado: (2024)
por: Fang, Taoran, et al.
Publicado: (2024)
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning
por: Yan, Hao, et al.
Publicado: (2024)
por: Yan, Hao, et al.
Publicado: (2024)
GraphRCG: Self-Conditioned Graph Generation
por: Wang, Song, et al.
Publicado: (2024)
por: Wang, Song, et al.
Publicado: (2024)
Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining
por: Ariguib, Boshra, et al.
Publicado: (2025)
por: Ariguib, Boshra, et al.
Publicado: (2025)
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection
por: Li, Zhong, et al.
Publicado: (2025)
por: Li, Zhong, et al.
Publicado: (2025)
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning
por: Naseri, Mahdi, et al.
Publicado: (2024)
por: Naseri, Mahdi, et al.
Publicado: (2024)
TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion
por: Liu, Lihui, et al.
Publicado: (2025)
por: Liu, Lihui, et al.
Publicado: (2025)
Ejemplares similares
-
A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
por: Song, Yu, et al.
Publicado: (2025) -
Higher-order Structure Boosts Link Prediction on Temporal Graphs
por: Liu, Jingzhe, et al.
Publicado: (2025) -
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
por: Ma, Qian, et al.
Publicado: (2024) -
On the Universality of Self-Supervised Learning
por: Qiang, Wenwen, et al.
Publicado: (2024) -
Enhancing Graph Self-Supervised Learning with Graph Interplay
por: Zhao, Xinjian, et al.
Publicado: (2024)