Imagen de Portada

CORE: Contrastive Masked Feature Reconstruction on Graphs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bo, Jianyuan, Fang, Yuan
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Quantizing Text-attributed Graphs for Semantic-Structural Integration
por: Bo, Jianyuan, et al.
Publicado: (2025)

Contrastive General Graph Matching with Adaptive Augmentation Sampling
por: Bo, Jianyuan, et al.
Publicado: (2024)

Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data
por: Fang, Donghai, et al.
Publicado: (2024)

Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
por: Wei, Xinxu, et al.
Publicado: (2024)

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

AMCEN: An Attention Masking-based Contrastive Event Network for Two-stage Temporal Knowledge Graph Reasoning
por: Yang, Jing, et al.
Publicado: (2024)

Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
por: Shou, Yuntao, et al.
Publicado: (2024)

Topology-aware Reinforcement Feature Space Reconstruction for Graph Data
por: Ying, Wangyang, et al.
Publicado: (2024)

A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning
por: Yu, Xingtong, et al.
Publicado: (2024)

Peek-a-Boo Reasoning: Contrastive Region Masking in MLLMs
por: Chaturvedi, Isha, et al.
Publicado: (2025)

Dual-perspective Cross Contrastive Learning in Graph Transformers
por: Yao, Zelin, et al.
Publicado: (2024)

Myna: Masking-Based Contrastive Learning of Musical Representations
por: Yonay, Ori, et al.
Publicado: (2025)

AudioMosaic: Contrastive Masked Audio Representation Learning
por: Huang, Hanxun, et al.
Publicado: (2026)

CORE-KG: An LLM-Driven Knowledge Graph Construction Framework for Human Smuggling Networks
por: Meher, Dipak, et al.
Publicado: (2025)

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

Wavelet-Driven Masked Multiscale Reconstruction for PPG Foundation Models
por: Thukral, Megha, et al.
Publicado: (2026)

SPGCL: Simple yet Powerful Graph Contrastive Learning via SVD-Guided Structural Perturbation
por: Deng, Hao, et al.
Publicado: (2026)

Discrepancy-Aware Graph Mask Auto-Encoder
por: Zheng, Ziyu, et al.
Publicado: (2025)

CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay
por: Zhang, Jianshu, et al.
Publicado: (2024)

Variational Graph Contrastive Learning
por: Xie, Shifeng, et al.
Publicado: (2024)

On the Properties of Feature Attribution for Supervised Contrastive Learning
por: Arrighi, Leonardo, et al.
Publicado: (2026)

ContraLog: Log File Anomaly Detection with Contrastive Learning and Masked Language Modeling
por: Dietz, Simon, et al.
Publicado: (2026)

CORE: Concept-Oriented Reinforcement for Bridging the Definition-Application Gap in Mathematical Reasoning
por: Gao, Zijun, et al.
Publicado: (2025)

MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification
por: Zheng, Bo, et al.
Publicado: (2026)

UGMAE: A Unified Framework for Graph Masked Autoencoders
por: Tian, Yijun, et al.
Publicado: (2024)

Retrieval Augmented Generation for Dynamic Graph Modeling
por: Wu, Yuxia, et al.
Publicado: (2024)

Self-Reinforced Graph Contrastive Learning
por: Hsieh, Chou-Ying, et al.
Publicado: (2025)

Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning
por: Fu, En, et al.
Publicado: (2024)

EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning
por: Zhuo, Shengda, et al.
Publicado: (2025)

CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders
por: Park, Jongwon, et al.
Publicado: (2025)

GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models
por: Fang, Yi, et al.
Publicado: (2024)

Inside CORE-KG: Evaluating Structured Prompting and Coreference Resolution for Knowledge Graphs
por: Meher, Dipak, et al.
Publicado: (2025)

CoRe-ECG: Advancing Self-Supervised Representation Learning for 12-Lead ECG via Contrastive and Reconstructive Synergy
por: Qin, Zehao, et al.
Publicado: (2026)

Brain Network Classification Based on Graph Contrastive Learning and Graph Transformer
por: Zhu, ZhiTeng, et al.
Publicado: (2025)

Dual-Kernel Graph Community Contrastive Learning
por: Chen, Xiang, et al.
Publicado: (2025)

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

Global Concept Explanations for Graphs by Contrastive Learning
por: Teufel, Jonas, et al.
Publicado: (2024)

Oversmoothing: A Nightmare for Graph Contrastive Learning?
por: Li, Jintang, et al.
Publicado: (2023)

Revisiting Graph Autoencoders as Implicit Contrastive Learners
por: Li, Jintang, et al.
Publicado: (2024)

TopoGCL: Topological Graph Contrastive Learning
por: Chen, Yuzhou, et al.
Publicado: (2024)