CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph Data Augmentations
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Tianyu, Ren, Yuxiang, Feng, Wenzheng, Du, Weitao, Zhang, Xuecang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A quatum inspired neural network for geometric modeling
por: Du, Weitao, et al.
Publicado: (2024)
por: Du, Weitao, et al.
Publicado: (2024)
Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift
por: Zeng, Fanlong, et al.
Publicado: (2025)
por: Zeng, Fanlong, et al.
Publicado: (2025)
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
por: Zhao, Xinjian, et al.
Publicado: (2024)
por: Zhao, Xinjian, et al.
Publicado: (2024)
GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation
por: Sun, Shengyin, et al.
Publicado: (2025)
por: Sun, Shengyin, et al.
Publicado: (2025)
Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models
por: Zhang, Tianyu, et al.
Publicado: (2024)
por: Zhang, Tianyu, et al.
Publicado: (2024)
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space
por: Lin, Zhenyu, et al.
Publicado: (2024)
por: Lin, Zhenyu, et al.
Publicado: (2024)
SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
por: Zhang, Yuxiang, et al.
Publicado: (2026)
por: Zhang, Yuxiang, et al.
Publicado: (2026)
LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges
por: Cheng, Xu, et al.
Publicado: (2025)
por: Cheng, Xu, et al.
Publicado: (2025)
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
por: Ren, Jing, et al.
Publicado: (2025)
por: Ren, Jing, 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)
Dual-Kernel Graph Community Contrastive Learning
por: Chen, Xiang, et al.
Publicado: (2025)
por: Chen, Xiang, et al.
Publicado: (2025)
Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data
por: Fang, Donghai, et al.
Publicado: (2024)
por: Fang, Donghai, et al.
Publicado: (2024)
CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning
por: Cheng, Yinghan, et al.
Publicado: (2024)
por: Cheng, Yinghan, et al.
Publicado: (2024)
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples
por: Shou, Yuntao, et al.
Publicado: (2024)
por: Shou, Yuntao, et al.
Publicado: (2024)
Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift
por: Zhang, Jiaqiang, et al.
Publicado: (2024)
por: Zhang, Jiaqiang, et al.
Publicado: (2024)
Dual-perspective Cross Contrastive Learning in Graph Transformers
por: Yao, Zelin, et al.
Publicado: (2024)
por: Yao, Zelin, et al.
Publicado: (2024)
Variational Graph Contrastive Learning
por: Xie, Shifeng, et al.
Publicado: (2024)
por: Xie, Shifeng, et al.
Publicado: (2024)
ID-MixGCL: Identity Mixup for Graph Contrastive Learning
por: Zhang, Gehang, et al.
Publicado: (2023)
por: Zhang, Gehang, et al.
Publicado: (2023)
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
por: Feng, Yushi, et al.
Publicado: (2025)
por: Feng, Yushi, et al.
Publicado: (2025)
Characterizing the Influence of Topology on Graph Learning Tasks
por: Wu, Kailong, et al.
Publicado: (2024)
por: Wu, Kailong, et al.
Publicado: (2024)
IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder
por: Lin, Di, et al.
Publicado: (2025)
por: Lin, Di, et al.
Publicado: (2025)
Frequency-Forcing: From Scaling-as-Time to Soft Frequency Guidance
por: Du, Weitao
Publicado: (2026)
por: Du, Weitao
Publicado: (2026)
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
por: Zhang, Haozhen, et al.
Publicado: (2024)
por: Zhang, Haozhen, et al.
Publicado: (2024)
CLDG: Contrastive Learning on Dynamic Graphs
por: Xu, Yiming, et al.
Publicado: (2024)
por: Xu, Yiming, et al.
Publicado: (2024)
Self-Reinforced Graph Contrastive Learning
por: Hsieh, Chou-Ying, et al.
Publicado: (2025)
por: Hsieh, Chou-Ying, et al.
Publicado: (2025)
GraphGPT: Generative Pre-trained Graph Eulerian Transformer
por: Zhao, Qifang, et al.
Publicado: (2023)
por: Zhao, Qifang, et al.
Publicado: (2023)
An Augmentation Overlap Theory of Contrastive Learning
por: Zhang, Qi, et al.
Publicado: (2025)
por: Zhang, Qi, et al.
Publicado: (2025)
DynaSearcher: Dynamic Knowledge Graph Augmented Search Agent via Multi-Reward Reinforcement Learning
por: Hao, Chuzhan, et al.
Publicado: (2025)
por: Hao, Chuzhan, et al.
Publicado: (2025)
Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning
por: Zhang, Yifei, et al.
Publicado: (2023)
por: Zhang, Yifei, et al.
Publicado: (2023)
Brain Network Classification Based on Graph Contrastive Learning and Graph Transformer
por: Zhu, ZhiTeng, et al.
Publicado: (2025)
por: Zhu, ZhiTeng, et al.
Publicado: (2025)
Fairness in Graph Learning Augmented with Machine Learning: A Survey
por: Luo, Renqiang, et al.
Publicado: (2025)
por: Luo, Renqiang, et al.
Publicado: (2025)
Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning
por: Chu, Xu, et al.
Publicado: (2025)
por: Chu, Xu, et al.
Publicado: (2025)
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
por: Yu, Jianxiang, et al.
Publicado: (2023)
por: Yu, Jianxiang, et al.
Publicado: (2023)
Poisoning the Inner Prediction Logic of Graph Neural Networks for Clean-Label Backdoor Attacks
por: Zhang, Yuxiang, et al.
Publicado: (2026)
por: Zhang, Yuxiang, et al.
Publicado: (2026)
Graph Contrastive Learning with Cohesive Subgraph Awareness
por: Wu, Yucheng, et al.
Publicado: (2024)
por: Wu, Yucheng, et al.
Publicado: (2024)
Global Concept Explanations for Graphs by Contrastive Learning
por: Teufel, Jonas, et al.
Publicado: (2024)
por: Teufel, Jonas, et al.
Publicado: (2024)
Oversmoothing: A Nightmare for Graph Contrastive Learning?
por: Li, Jintang, et al.
Publicado: (2023)
por: Li, Jintang, et al.
Publicado: (2023)
TopoGCL: Topological Graph Contrastive Learning
por: Chen, Yuzhou, et al.
Publicado: (2024)
por: Chen, Yuzhou, et al.
Publicado: (2024)
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
por: Zhang, Tianyu, et al.
Publicado: (2024)
por: Zhang, Tianyu, et al.
Publicado: (2024)
Enhancing Noise Robustness of Parkinson's Disease Telemonitoring via Contrastive Feature Augmentation
por: Tang, Ziming, et al.
Publicado: (2025)
por: Tang, Ziming, et al.
Publicado: (2025)
Ejemplares similares
-
A quatum inspired neural network for geometric modeling
por: Du, Weitao, et al.
Publicado: (2024) -
Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift
por: Zeng, Fanlong, et al.
Publicado: (2025) -
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
por: Zhao, Xinjian, et al.
Publicado: (2024) -
GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation
por: Sun, Shengyin, et al.
Publicado: (2025) -
Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models
por: Zhang, Tianyu, et al.
Publicado: (2024)