Cover Image

Tri-Learn Graph Fusion Network for Attributed Graph Clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Binxiong, Xiang, Xu, Li, Xue, Zhao, Binyu, Gao, Heyang, Zhao, Qinyu
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Attributed Graph Clustering with Multi-Scale Weight-Based Pairwise Coarsening and Contrastive Learning
by: Li, Binxiong, et al.
Published: (2025)

GCL-GCN: Graphormer and Contrastive Learning Enhanced Attributed Graph Clustering Network
by: Li, Binxiong, et al.
Published: (2025)

Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering
by: Liu, Yunhui, et al.
Published: (2024)

Scalable Deep Metric Learning on Attributed Graphs
by: Li, Xiang, et al.
Published: (2024)

Clustering-Oriented Generative Attribute Graph Imputation
by: Chen, Mulin, et al.
Published: (2025)

Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
by: Zheng, Haoran, et al.
Published: (2025)

LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
by: Zhu, Xi, et al.
Published: (2025)

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes
by: Zhao, Yige, et al.
Published: (2023)

Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion
by: Ji, Xiaoyang, et al.
Published: (2024)

Learning Optimal Graph Filters for Clustering of Attributed Graphs
by: Ortiz-Bouza, Meiby, et al.
Published: (2022)

Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering
by: Zhao, Tianxiang, et al.
Published: (2025)

Sharpness-aware Federated Graph Learning
by: Li, Ruiyu, et al.
Published: (2025)

HyReaL: Clustering Attributed Graph via Hyper-Complex Space Representation Learning
by: Chen, Junyang, et al.
Published: (2024)

Attributed Graph Clustering in Collaborative Settings
by: Zhang, Rui, et al.
Published: (2024)

Spectral Subspace Clustering for Attributed Graphs
by: Lin, Xiaoyang, et al.
Published: (2024)

GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
by: Xu, Tianxiang, et al.
Published: (2025)

G2LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs
by: Wang, Yuhan, et al.
Published: (2026)

Adaptive Local Clustering over Attributed Graphs
by: Zheng, Haoran, et al.
Published: (2025)

Provable Filter for Real-world Graph Clustering
by: Xie, Xuanting, et al.
Published: (2024)

Multi-Relation Graph-Kernel Strengthen Network for Graph-Level Clustering
by: Han, Renda, et al.
Published: (2025)

Self-Supervised Graph Embedding Clustering
by: Li, Fangfang, et al.
Published: (2024)

Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
by: Rauchwerger, Levi, et al.
Published: (2024)

One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes
by: Zhu, Yuchang, et al.
Published: (2024)

ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
by: Li, Xiang, et al.
Published: (2025)

DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations
by: Wang, Jinlu, et al.
Published: (2024)

TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations
by: Zhang, Zheng, et al.
Published: (2024)

Geometric Evolution Graph Convolutional Networks: Enhancing Graph Representation Learning via Ricci Flow
by: Ma, Jicheng, et al.
Published: (2026)

Effective Clustering on Large Attributed Bipartite Graphs
by: Yang, Renchi, et al.
Published: (2024)

Bounded Graph Clustering with Graph Neural Networks
by: Neocosmos, Kibidi, et al.
Published: (2025)

LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning
by: Xu, Haoyan, et al.
Published: (2025)

Distilling Large Language Models for Text-Attributed Graph Learning
by: Pan, Bo, et al.
Published: (2024)

GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks
by: He, Dongxiao, et al.
Published: (2026)

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
by: Yu, Jianxiang, et al.
Published: (2023)

Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering
by: Liu, Yunhui, et al.
Published: (2026)

HeteroBA: A Structure-Manipulating Backdoor Attack on Heterogeneous Graphs
by: Gao, Honglin, et al.
Published: (2025)

GOAt: Explaining Graph Neural Networks via Graph Output Attribution
by: Lu, Shengyao, et al.
Published: (2024)

On the Benefits of Attribute-Driven Graph Domain Adaptation
by: Fang, Ruiyi, et al.
Published: (2025)

Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding
by: Hu, Bozhen, et al.
Published: (2024)

HeteroHBA: A Generative Structure-Manipulating Backdoor Attack on Heterogeneous Graphs
by: Gao, Honglin, et al.
Published: (2025)

Learning Order Forest for Qualitative-Attribute Data Clustering
by: Zhao, Mingjie, et al.
Published: (2026)