Attributed Graph Clustering in Collaborative Settings
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Rui, Hou, Xiaoyang, Tian, Zhihua, he, Yan, Gong, Enchao, Liu, Jian, Wu, Qingbiao, Ren, Kui |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Collaborative Anti-Money Laundering Among Financial Institutions
by: Tian, Zhihua, et al.
Published: (2025)
by: Tian, Zhihua, et al.
Published: (2025)
Spectral Subspace Clustering for Attributed Graphs
by: Lin, Xiaoyang, et al.
Published: (2024)
by: Lin, Xiaoyang, et al.
Published: (2024)
Effective Clustering on Large Attributed Bipartite Graphs
by: Yang, Renchi, et al.
Published: (2024)
by: Yang, Renchi, et al.
Published: (2024)
Effective Clustering for Large Multi-Relational Graphs
by: Lin, Xiaoyang, et al.
Published: (2025)
by: Lin, Xiaoyang, et al.
Published: (2025)
Learning Optimal Graph Filters for Clustering of Attributed Graphs
by: Ortiz-Bouza, Meiby, et al.
Published: (2022)
by: Ortiz-Bouza, Meiby, et al.
Published: (2022)
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
by: Wang, Songbo, et al.
Published: (2025)
by: Wang, Songbo, et al.
Published: (2025)
Adaptive Local Clustering over Attributed Graphs
by: Zheng, Haoran, et al.
Published: (2025)
by: Zheng, Haoran, et al.
Published: (2025)
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
by: Wen, Zichen, et al.
Published: (2024)
by: Wen, Zichen, et al.
Published: (2024)
GravityGraphSAGE: Link Prediction in Directed Attributed Graphs
by: Porcedda, Riccardo, et al.
Published: (2026)
by: Porcedda, Riccardo, et al.
Published: (2026)
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
by: Jiang, Ruobing, et al.
Published: (2025)
by: Jiang, Ruobing, et al.
Published: (2025)
Changepoint Detection in Highly-Attributed Dynamic Graphs
by: Penaloza, Emiliano, et al.
Published: (2024)
by: Penaloza, Emiliano, et al.
Published: (2024)
Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes
by: Zhao, Yige, et al.
Published: (2023)
by: Zhao, Yige, et al.
Published: (2023)
H$^2$GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs
by: Nguyen, Trung-Kien, et al.
Published: (2025)
by: Nguyen, Trung-Kien, et al.
Published: (2025)
Incorporating Higher-order Structural Information for Graph Clustering
by: Li, Qiankun, et al.
Published: (2024)
by: Li, Qiankun, et al.
Published: (2024)
Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection
by: Xiao, Chunjing, et al.
Published: (2025)
by: Xiao, Chunjing, et al.
Published: (2025)
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
by: Zhao, Huanjing, et al.
Published: (2024)
by: Zhao, Huanjing, et al.
Published: (2024)
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation
by: Li, Yiran, et al.
Published: (2024)
by: Li, Yiran, et al.
Published: (2024)
LEGO-Learn: Label-Efficient Graph Open-Set Learning
by: Xu, Haoyan, et al.
Published: (2024)
by: Xu, Haoyan, et al.
Published: (2024)
Drop the mask! GAMM-A Taxonomy for Graph Attributes Missing Mechanisms
by: Serrano, Richard, et al.
Published: (2026)
by: Serrano, Richard, et al.
Published: (2026)
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs
by: Wang, Hewen, et al.
Published: (2024)
by: Wang, Hewen, et al.
Published: (2024)
Local Graph Clustering with Noisy Labels
by: de Luca, Artur Back, et al.
Published: (2023)
by: de Luca, Artur Back, et al.
Published: (2023)
Differentiable Tripartite Modularity for Clustering Heterogeneous Graphs
by: Hurpeau, Benoît
Published: (2026)
by: Hurpeau, Benoît
Published: (2026)
Self-attention Dual Embedding for Graphs with Heterophily
by: Lai, Yurui, et al.
Published: (2023)
by: Lai, Yurui, et al.
Published: (2023)
Attacks on Node Attributes in Graph Neural Networks
by: Xu, Ying, et al.
Published: (2024)
by: Xu, Ying, et al.
Published: (2024)
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
by: Lv, Rui, et al.
Published: (2025)
by: Lv, Rui, et al.
Published: (2025)
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering
by: Li, Shouheng, et al.
Published: (2022)
by: Li, Shouheng, et al.
Published: (2022)
Graph Neural Networks with Diverse Spectral Filtering
by: Guo, Jingwei, et al.
Published: (2023)
by: Guo, Jingwei, et al.
Published: (2023)
Unsupervised Learning of Local Updates for Maximum Independent Set in Dynamic Graphs
by: Parkar, Devendra, et al.
Published: (2025)
by: Parkar, Devendra, et al.
Published: (2025)
Graph-based Diffusion Model for Collaborative Filtering
by: Zhang, Xuan, et al.
Published: (2025)
by: Zhang, Xuan, et al.
Published: (2025)
GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs
by: Tian, Sheng, et al.
Published: (2024)
by: Tian, Sheng, et al.
Published: (2024)
GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
by: Zhu, Chaofan, et al.
Published: (2025)
by: Zhu, Chaofan, et al.
Published: (2025)
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering
by: Hu, Jun, et al.
Published: (2022)
by: Hu, Jun, et al.
Published: (2022)
Heterogeneous Social Event Detection via Hyperbolic Graph Representations
by: Qiu, Zitai, et al.
Published: (2023)
by: Qiu, Zitai, et al.
Published: (2023)
Cluster-guided Contrastive Class-imbalanced Graph Classification
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
Graph self-supervised learning based on frequency corruption
by: Li, Haojie, et al.
Published: (2026)
by: Li, Haojie, et al.
Published: (2026)
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
by: Zhang, Tianyu, et al.
Published: (2024)
by: Zhang, Tianyu, et al.
Published: (2024)
Predicting Healthcare System Visitation Flow by Integrating Hospital Attributes and Population Socioeconomics with Human Mobility Data
by: Lin, Binbin, et al.
Published: (2026)
by: Lin, Binbin, et al.
Published: (2026)
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning
by: Li, Xiang, et al.
Published: (2021)
by: Li, Xiang, et al.
Published: (2021)
Graph Out-of-Distribution Generalization via Causal Intervention
by: Wu, Qitian, et al.
Published: (2024)
by: Wu, Qitian, et al.
Published: (2024)
A Unified Graph Selective Prompt Learning for Graph Neural Networks
by: Jiang, Bo, et al.
Published: (2024)
by: Jiang, Bo, et al.
Published: (2024)
Similar Items
-
Towards Collaborative Anti-Money Laundering Among Financial Institutions
by: Tian, Zhihua, et al.
Published: (2025) -
Spectral Subspace Clustering for Attributed Graphs
by: Lin, Xiaoyang, et al.
Published: (2024) -
Effective Clustering on Large Attributed Bipartite Graphs
by: Yang, Renchi, et al.
Published: (2024) -
Effective Clustering for Large Multi-Relational Graphs
by: Lin, Xiaoyang, et al.
Published: (2025) -
Learning Optimal Graph Filters for Clustering of Attributed Graphs
by: Ortiz-Bouza, Meiby, et al.
Published: (2022)