Graph Structure Refinement with Energy-based Contrastive Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zeng, Xianlin, Wang, Yufeng, Sun, Yuqi, Guo, Guodong, Ding, Wenrui, Zhang, Baochang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Structure-enhanced Contrastive Learning for Graph Clustering
by: Wu, Xunlian, et al.
Published: (2024)
by: Wu, Xunlian, et al.
Published: (2024)
Interpretable Clustering with Adaptive Heterogeneous Causal Structure Learning in Mixed Observational Data
by: Li, Wenrui, et al.
Published: (2025)
by: Li, Wenrui, et al.
Published: (2025)
Energy Approach from $\varepsilon$-Graph to Continuum Diffusion Model with Connectivity Functional
by: Yang, Yahong, et al.
Published: (2025)
by: Yang, Yahong, et al.
Published: (2025)
Iterative Refinement of Flow Policies in Probability Space for Online Reinforcement Learning
by: Sun, Mingyang, et al.
Published: (2025)
by: Sun, Mingyang, et al.
Published: (2025)
Str-GCL: Structural Commonsense Driven Graph Contrastive Learning
by: He, Dongxiao, et al.
Published: (2025)
by: He, Dongxiao, et al.
Published: (2025)
$f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning
by: Lu, Yiwei, et al.
Published: (2024)
by: Lu, Yiwei, et al.
Published: (2024)
Can Contrastive Learning Refine Embeddings
by: Liu, Lihui, et al.
Published: (2024)
by: Liu, Lihui, et al.
Published: (2024)
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance
by: Zeng, Chusheng, et al.
Published: (2024)
by: Zeng, Chusheng, et al.
Published: (2024)
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning
by: Yang, Wenjie, et al.
Published: (2024)
by: Yang, Wenjie, et al.
Published: (2024)
Provable Training for Graph Contrastive Learning
by: Yu, Yue, et al.
Published: (2023)
by: Yu, Yue, et al.
Published: (2023)
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning
by: Zhang, Shengzhong, et al.
Published: (2023)
by: Zhang, Shengzhong, et al.
Published: (2023)
SPGCL: Simple yet Powerful Graph Contrastive Learning via SVD-Guided Structural Perturbation
by: Deng, Hao, et al.
Published: (2026)
by: Deng, Hao, et al.
Published: (2026)
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model
by: Li, Yujun, et al.
Published: (2024)
by: Li, Yujun, et al.
Published: (2024)
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
by: Qin, Jiawen, et al.
Published: (2024)
by: Qin, Jiawen, et al.
Published: (2024)
Graph-level Protein Representation Learning by Structure Knowledge Refinement
by: Wang, Ge, et al.
Published: (2024)
by: Wang, Ge, et al.
Published: (2024)
Cheeger--Hodge Contrastive Learning for Structurally Robust Graph Representation Learning
by: Zhao, Mengyang, et al.
Published: (2026)
by: Zhao, Mengyang, et al.
Published: (2026)
Multiplex Graph Contrastive Learning with Soft Negatives
by: Zhao, Zhenhao, et al.
Published: (2024)
by: Zhao, Zhenhao, et al.
Published: (2024)
Dual Refinement Cycle Learning: Unsupervised Text Classification of Mamba and Community Detection on Text Attributed Graph
by: Wang, Hong, et al.
Published: (2025)
by: Wang, Hong, et al.
Published: (2025)
Energy-Balanced Hyperspherical Graph Representation Learning via Structural Binding and Entropic Dispersion
by: Chen, Rui, et al.
Published: (2025)
by: Chen, Rui, et al.
Published: (2025)
Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift
by: Zeng, Fanlong, et al.
Published: (2025)
by: Zeng, Fanlong, et al.
Published: (2025)
Single-View Graph Contrastive Learning with Soft Neighborhood Awareness
by: Sun, Qingqiang, et al.
Published: (2024)
by: Sun, Qingqiang, et al.
Published: (2024)
Self-Guided Robust Graph Structure Refinement
by: In, Yeonjun, et al.
Published: (2024)
by: In, Yeonjun, et al.
Published: (2024)
BiPFT: Binary Pre-trained Foundation Transformer with Low-rank Estimation of Binarization Residual Polynomials
by: Xing, Xingrun, et al.
Published: (2023)
by: Xing, Xingrun, et al.
Published: (2023)
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
by: Xu, Yiming, et al.
Published: (2025)
by: Xu, Yiming, et al.
Published: (2025)
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
by: Sun, Li, et al.
Published: (2024)
by: Sun, Li, et al.
Published: (2024)
Contrastive Learning Meets Pseudo-label-assisted Mixup Augmentation: A Comprehensive Graph Representation Framework from Local to Global
by: Wang, Jinlu, et al.
Published: (2025)
by: Wang, Jinlu, et al.
Published: (2025)
Structure-Aware Contrastive Learning with Fine-Grained Binding Representations for Drug Discovery
by: Lan, Jing, et al.
Published: (2025)
by: Lan, Jing, et al.
Published: (2025)
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
by: Wu, Lirong, et al.
Published: (2024)
by: Wu, Lirong, et al.
Published: (2024)
Heterogeneous Graph Contrastive Learning with Spectral Augmentation
by: Zhang, Jing, et al.
Published: (2024)
by: Zhang, Jing, et al.
Published: (2024)
Fractal Graph Contrastive Learning
by: Li, Nero Z., et al.
Published: (2025)
by: Li, Nero Z., et al.
Published: (2025)
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
by: Zhao, Xinjian, et al.
Published: (2024)
by: Zhao, Xinjian, et al.
Published: (2024)
Efficient Antibody Structure Refinement Using Energy-Guided SE(3) Flow Matching
by: Zhang, Jiying, et al.
Published: (2024)
by: Zhang, Jiying, et al.
Published: (2024)
Molecular Graph Contrastive Learning with Line Graph
by: Chen, Xueyuan, et al.
Published: (2025)
by: Chen, Xueyuan, et al.
Published: (2025)
Adaptive Redundancy Regulation for Balanced Multimodal Information Refinement
by: Yang, Zhe, et al.
Published: (2025)
by: Yang, Zhe, et al.
Published: (2025)
The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
by: Miao, Yuchun, et al.
Published: (2025)
by: Miao, Yuchun, et al.
Published: (2025)
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
by: Yang, Zhe-Rui, et al.
Published: (2024)
by: Yang, Zhe-Rui, et al.
Published: (2024)
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing
by: Sun, Li, et al.
Published: (2024)
by: Sun, Li, et al.
Published: (2024)
Oversmoothing: A Nightmare for Graph Contrastive Learning?
by: Li, Jintang, et al.
Published: (2023)
by: Li, Jintang, et al.
Published: (2023)
Refined Causal Graph Structure Learning via Curvature for Brain Disease Classification
by: Febrinanto, Falih Gozi, et al.
Published: (2025)
by: Febrinanto, Falih Gozi, et al.
Published: (2025)
Simple and Asymmetric Graph Contrastive Learning without Augmentations
by: Xiao, Teng, et al.
Published: (2023)
by: Xiao, Teng, et al.
Published: (2023)
Similar Items
-
Structure-enhanced Contrastive Learning for Graph Clustering
by: Wu, Xunlian, et al.
Published: (2024) -
Interpretable Clustering with Adaptive Heterogeneous Causal Structure Learning in Mixed Observational Data
by: Li, Wenrui, et al.
Published: (2025) -
Energy Approach from $\varepsilon$-Graph to Continuum Diffusion Model with Connectivity Functional
by: Yang, Yahong, et al.
Published: (2025) -
Iterative Refinement of Flow Policies in Probability Space for Online Reinforcement Learning
by: Sun, Mingyang, et al.
Published: (2025) -
Str-GCL: Structural Commonsense Driven Graph Contrastive Learning
by: He, Dongxiao, et al.
Published: (2025)