Image de couverture de livre

CluStRE: Streaming Graph Clustering with Multi-Stage Refinement

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chhabra, Adil, Peretz, Shai Dorian, Schulz, Christian
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Databases
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

BuffCut: Prioritized Buffered Streaming Graph Partitioning
par: Baumgärtner, Linus, et autres
Publié: (2026)

Incremental Gaussian Mixture Clustering for Data Streams
par: Bhanderi, Aniket, et autres
Publié: (2024)

Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams
par: Maldonado, Andrea, et autres
Publié: (2026)

Graph-based Active Learning for Entity Cluster Repair
par: Christen, Victor, et autres
Publié: (2024)

Effective Clustering for Large Multi-Relational Graphs
par: Lin, Xiaoyang, et autres
Publié: (2025)

MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version)
par: Liu, Hengyu, et autres
Publié: (2025)

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
par: Miao, Hao, et autres
Publié: (2024)

Structuring the Processing Frameworks for Data Stream Evaluation and Application
par: Komorniczak, Joanna, et autres
Publié: (2024)

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
par: Fu, Xingcheng, et autres
Publié: (2024)

Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams
par: Shaowang, Ted, et autres
Publié: (2025)

Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth
par: Yuan, Xinyu, et autres
Publié: (2024)

CaDrift: A Time-dependent Causal Generator of Drifting Data Streams
par: Barboza, Eduardo V. L., et autres
Publié: (2026)

Fast Clustering of Categorical Big Data
par: Thapaliya, Bipana, et autres
Publié: (2025)

Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation
par: Kathiriya, Niket, et autres
Publié: (2024)

Graph Neural Networks on Graph Databases
par: Lopushanskyy, Dmytro, et autres
Publié: (2024)

Leveraging Approximate Caching for Faster Retrieval-Augmented Generation
par: Bergman, Shai, et autres
Publié: (2025)

HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
par: Zhu, Qiuyu, et autres
Publié: (2024)

Graph2Region: Efficient Graph Similarity Learning with Structure and Scale Restoration
par: Liu, Zhouyang, et autres
Publié: (2025)

Gaussian Relational Graph Transformer
par: Ding, Zezhong, et autres
Publié: (2026)

Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction
par: Clement, Tobias, et autres
Publié: (2024)

gHAWK: Local and Global Structure Encoding for Scalable Training of Graph Neural Networks on Knowledge Graphs
par: Sabir, Humera, et autres
Publié: (2025)

Interpreting Graph Inference with Skyline Explanations
par: Qiu, Dazhuo, et autres
Publié: (2025)

Predictive Query-based Pipeline for Graph Data
par: Neto, Plácido A Souza
Publié: (2024)

View-based Explanations for Graph Neural Networks
par: Chen, Tingyang, et autres
Publié: (2024)

Raising the ClaSS of Streaming Time Series Segmentation
par: Ermshaus, Arik, et autres
Publié: (2023)

Incremental IVF Index Maintenance for Streaming Vector Search
par: Mohoney, Jason, et autres
Publié: (2024)

Generating Robust Counterfactual Witnesses for Graph Neural Networks
par: Qiu, Dazhuo, et autres
Publié: (2024)

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets
par: Qiao, Lianpeng, et autres
Publié: (2025)

Theoretically and Practically Efficient Resistance Distance Computation on Large Graphs
par: Yang, Yichun, et autres
Publié: (2026)

Relational Database Distillation: From Structured Tables to Condensed Graph Data
par: Gao, Xinyi, et autres
Publié: (2025)

Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
par: Zheng, Zhiyuan, et autres
Publié: (2025)

Not All Neighbors Matter: Understanding the Impact of Graph Sparsification on GNN Pipelines
par: Song, Yuhang, et autres
Publié: (2026)

A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs
par: Wang, Yun, et autres
Publié: (2024)

QirK: Question Answering via Intermediate Representation on Knowledge Graphs
par: Scheerer, Jan Luca, et autres
Publié: (2024)

Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
par: Liao, Ningyi, et autres
Publié: (2024)

Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
par: Yang, Xinyu, et autres
Publié: (2024)

An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs
par: Afandi, Waleed, et autres
Publié: (2026)

Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study
par: Merkel, Nikolai, et autres
Publié: (2024)

The Hybrid Multimodal Graph Index (HMGI): A Comprehensive Framework for Integrated Relational and Vector Search
par: Chandra, Joydeep, et autres
Publié: (2025)

Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion
par: Zhang, Zizhao, et autres
Publié: (2025)