Image de couverture de livre

Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Xiang, Li, Dong, Jin, Ruoming, Agrawal, Gagan, Ramnath, Rajiv
Format:	Preprint
Publié:	2021
Sujets:	Machine Learning Social and Information Networks
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Scalable Deep Metric Learning on Attributed Graphs
par: Li, Xiang, et autres
Publié: (2024)

Federated Contrastive Learning of Graph-Level Representations
par: Li, Xiang, et autres
Publié: (2024)

Graph self-supervised learning based on frequency corruption
par: Li, Haojie, et autres
Publié: (2026)

Flex-GAD : Flexible Graph Anomaly Detection
par: Chakraborty, Apu, et autres
Publié: (2025)

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
par: Liu, Yonghao, et autres
Publié: (2024)

CueGCL: Cluster-aware Personalized Self-Training for Unsupervised Graph Contrastive Learning
par: Li, Yuecheng, et autres
Publié: (2023)

Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
par: Wang, Songbo, et autres
Publié: (2025)

A Scalable and Effective Alternative to Graph Transformers
par: Sancak, Kaan, et autres
Publié: (2024)

Incorporating Higher-order Structural Information for Graph Clustering
par: Li, Qiankun, et autres
Publié: (2024)

Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering
par: Li, Shouheng, et autres
Publié: (2022)

Efficient Heterogeneous Graph Learning via Random Projection
par: Hu, Jun, et autres
Publié: (2023)

HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
par: Liu, Yanbei, et autres
Publié: (2025)

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
par: Xiang, Sheng, et autres
Publié: (2024)

Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to Hypergraphs
par: Li, Zihao, et autres
Publié: (2024)

Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach
par: Li, Xunkai, et autres
Publié: (2025)

Scalable Graph Condensation with Evolving Capabilities
par: Gong, Shengbo, et autres
Publié: (2025)

Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs
par: Eddin, Ahmad Naser, et autres
Publié: (2024)

A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective
par: Zhao, Ziwen, et autres
Publié: (2024)

Attributed Graph Clustering in Collaborative Settings
par: Zhang, Rui, et autres
Publié: (2024)

Local Graph Clustering with Noisy Labels
par: de Luca, Artur Back, et autres
Publié: (2023)

Spectral Subspace Clustering for Attributed Graphs
par: Lin, Xiaoyang, et autres
Publié: (2024)

Learning Scalable Structural Representations for Link Prediction with Bloom Signatures
par: Zhang, Tianyi, et autres
Publié: (2023)

Learning Optimal Graph Filters for Clustering of Attributed Graphs
par: Ortiz-Bouza, Meiby, et autres
Publié: (2022)

Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity
par: Li, Dongyue, et autres
Publié: (2024)

Differentiable Tripartite Modularity for Clustering Heterogeneous Graphs
par: Hurpeau, Benoît
Publié: (2026)

Effective Clustering on Large Attributed Bipartite Graphs
par: Yang, Renchi, et autres
Publié: (2024)

DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
par: Wang, Yifan, et autres
Publié: (2024)

A Unified Graph Selective Prompt Learning for Graph Neural Networks
par: Jiang, Bo, et autres
Publié: (2024)

Is Graph Convolution Always Beneficial For Every Feature?
par: Zheng, Yilun, et autres
Publié: (2024)

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning
par: Srinivasan, Srinitish, et autres
Publié: (2025)

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
par: Wen, Zichen, et autres
Publié: (2024)

Efficient and Scalable Graph Generation through Iterative Local Expansion
par: Bergmeister, Andreas, et autres
Publié: (2023)

Community-Invariant Graph Contrastive Learning
par: Tan, Shiyin, et autres
Publié: (2024)

Privacy-Preserving Graph Embedding based on Local Differential Privacy
par: Li, Zening, et autres
Publié: (2023)

Spectral-Aware Augmentation for Enhanced Graph Representation Learning
par: Yang, Kaiqi, et autres
Publié: (2023)

Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding
par: Jiang, Mengying, et autres
Publié: (2024)

MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs Embedding
par: Bongiovanni, Marco, et autres
Publié: (2024)

Hypergraph-enhanced Dual Semi-supervised Graph Classification
par: Ju, Wei, et autres
Publié: (2024)

Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
par: Liu, Yonghao, et autres
Publié: (2025)

LEGO-Learn: Label-Efficient Graph Open-Set Learning
par: Xu, Haoyan, et autres
Publié: (2024)