:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Hurpeau, Benoît
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Social and Information Networks
Online Access:	https://arxiv.org/abs/2602.09864
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Differentially Private Spectral Graph Clustering: Balancing Privacy, Accuracy, and Efficiency
by: Koskela, Antti, et al.
Published: (2025)

Heterogeneous Graph Neural Network on Semantic Tree
by: Guan, Mingyu, et al.
Published: (2024)

Homophily-aware Heterogeneous Graph Contrastive Learning
by: Wang, Haosen, et al.
Published: (2025)

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

Local Graph Clustering with Noisy Labels
by: de Luca, Artur Back, et al.
Published: (2023)

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

Longitudinal Modularity, a Modularity for Link Streams
by: Brabant, Victor, et al.
Published: (2024)

Efficient Heterogeneous Graph Learning via Random Projection
by: Hu, Jun, et al.
Published: (2023)

AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening
by: Kataria, Mohit, et al.
Published: (2025)

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

HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model
by: Pan, Zhenyu, et al.
Published: (2024)

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
by: Gastinger, Julia, et al.
Published: (2024)

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
by: Wen, Zichen, et al.
Published: (2024)

Out-of-Distribution Detection in Heterogeneous Graphs via Energy Propagation
by: Yin, Tao, et al.
Published: (2025)

Heterogeneous Social Event Detection via Hyperbolic Graph Representations
by: Qiu, Zitai, et al.
Published: (2023)

Incorporating Higher-order Structural Information for Graph Clustering
by: Li, Qiankun, et al.
Published: (2024)

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

Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
by: Jiang, Ruobing, et al.
Published: (2025)

Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting
by: Zheng, Yufan, et al.
Published: (2024)

Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering
by: Li, Shouheng, et al.
Published: (2022)

Hyperbolic Heterogeneous Graph Transformer
by: Park, Jongmin, et al.
Published: (2026)

H$^2$GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs
by: Nguyen, Trung-Kien, et al.
Published: (2025)

Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning
by: Hu, Jun, et al.
Published: (2025)

Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling
by: Ghosh, Hritaban, et al.
Published: (2024)

Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
by: Wang, Songbo, et al.
Published: (2025)

Effective Clustering for Large Multi-Relational Graphs
by: Lin, Xiaoyang, et al.
Published: (2025)

Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
by: Zhang, Sen, et al.
Published: (2025)

When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark
by: Lin, Junhong, et al.
Published: (2024)

Bi-directional Curriculum Learning for Graph Anomaly Detection: Dual Focus on Homogeneity and Heterogeneity
by: Hao, Yitong, et al.
Published: (2025)

HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness
by: Zhao, Zeyuan, et al.
Published: (2023)

Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning
by: Li, Xiang, et al.
Published: (2021)

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

Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
by: Li, Xiping, et al.
Published: (2025)

Balanced Multi-Relational Graph Clustering
by: Shen, Zhixiang, et al.
Published: (2024)

On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models
by: Koskela, Antti, et al.
Published: (2025)

Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering
by: Black, Mitchell, et al.
Published: (2024)

Cluster-guided Contrastive Class-imbalanced Graph Classification
by: Ju, Wei, et al.
Published: (2024)

Disentangling Homophily and Heterophily in Multimodal Graph Clustering
by: Guo, Zhaochen, et al.
Published: (2025)

Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities
by: Todeschini, Adrien, et al.
Published: (2016)

Spiking Heterogeneous Graph Attention Networks
by: Cao, Buqing, et al.
Published: (2025)