Cover Image

Rethinking Graph Contrastive Learning through Relative Similarity Preservation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ning, Zhiyuan, Wang, Pengfei, Qiao, Ziyue, Wang, Pengyang, Zhou, Yuanchun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
by: Dong, Hao, et al.
Published: (2023)

Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
by: Dong, Hao, et al.
Published: (2025)

Deep Cut-informed Graph Embedding and Clustering
by: Ning, Zhiyuan, et al.
Published: (2025)

scSiameseClu: A Siamese Clustering Framework for Interpreting single-cell RNA Sequencing Data
by: Xu, Ping, et al.
Published: (2025)

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization
by: Huang, Xiaohan, et al.
Published: (2025)

Soft Graph Clustering for single-cell RNA Sequencing Data
by: Xu, Ping, et al.
Published: (2025)

scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding
by: Xu, Ping, et al.
Published: (2024)

GCAL: Adapting Graph Models to Evolving Domain Shifts
by: Qiao, Ziyue, et al.
Published: (2025)

A Comprehensive Survey on Data Augmentation
by: Wang, Zaitian, et al.
Published: (2024)

GCC-Spam: Spam Detection via GAN, Contrastive Learning, and Character Similarity Networks
by: Wang, Zhijie, et al.
Published: (2025)

Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
by: Zhou, Yicheng, et al.
Published: (2024)

Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
by: Ji, Qirui, et al.
Published: (2023)

Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning
by: Jian, Xiangru, et al.
Published: (2024)

Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
by: Ying, Wangyang, et al.
Published: (2024)

Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning
by: Zhang, Weiliang, et al.
Published: (2025)

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
by: Liao, Xinting, et al.
Published: (2024)

Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models
by: Liu, Jin, et al.
Published: (2026)

Re-understanding Graph Unlearning through Memorization
by: Ding, Pengfei, et al.
Published: (2026)

Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation
by: Chen, Ge, et al.
Published: (2024)

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model
by: Wang, Yuling, et al.
Published: (2025)

Reinforcement Learning-based Feature Generation Algorithm for Scientific Data
by: Xiao, Meng, et al.
Published: (2025)

Dynamic and Adaptive Feature Generation with LLM
by: Zhang, Xinhao, et al.
Published: (2024)

Contrastive Learning Is Spectral Clustering On Similarity Graph
by: Tan, Zhiquan, et al.
Published: (2023)

Rethinking Flexible Graph Similarity Computation: One-step Alignment with Global Guidance
by: Liu, Zhouyang, et al.
Published: (2025)

Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring
by: Hua, Peichun, et al.
Published: (2025)

FastFT: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies
by: He, Tianqi, et al.
Published: (2025)

Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
by: Miao, Rui, et al.
Published: (2024)

Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs
by: Ding, Pengfei, et al.
Published: (2024)

PhenoGnet: A Graph-Based Contrastive Learning Framework for Disease Similarity Prediction
by: Baminiwatte, Ranga, et al.
Published: (2025)

GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling
by: Ju, Wei, et al.
Published: (2024)

CLDG: Contrastive Learning on Dynamic Graphs
by: Xu, Yiming, et al.
Published: (2024)

Graph Contrastive Learning with Cohesive Subgraph Awareness
by: Wu, Yucheng, et al.
Published: (2024)

Diversity-oriented Data Augmentation with Large Language Models
by: Wang, Zaitian, et al.
Published: (2025)

Deep Contrastive Graph Learning with Clustering-Oriented Guidance
by: Chen, Mulin, et al.
Published: (2024)

Rethinking Propagation for Unsupervised Graph Domain Adaptation
by: Liu, Meihan, et al.
Published: (2024)

GED-Consistent Disentanglement of Aligned and Unaligned Substructures for Graph Similarity Learning
by: Zhan, Zhentao, et al.
Published: (2025)

Structural Invariance Matters: Rethinking Graph Rewiring through Graph Metrics
by: Benoit, Alexandre, et al.
Published: (2025)

Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
by: Liu, Yunfei, et al.
Published: (2024)

Graph Similarity Computation via Interpretable Neural Node Alignment
by: Wang, Jingjing, et al.
Published: (2024)

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
by: Qiu, Haomiao, et al.
Published: (2025)