Graphint: Graph-based Time Series Clustering Visualisation Tool
Fuente:
arXiv
Saved in:
| Main Authors: | Boniol, Paul, Tiano, Donato, Bonifati, Angela, Palpanas, Themis |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
$k$-Graph: A Graph Embedding for Interpretable Time Series Clustering
by: Boniol, Paul, et al.
Published: (2025)
by: Boniol, Paul, et al.
Published: (2025)
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series
by: Petralia, Adrien, et al.
Published: (2025)
by: Petralia, Adrien, et al.
Published: (2025)
Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series
by: Petralia, Adrien, et al.
Published: (2025)
by: Petralia, Adrien, et al.
Published: (2025)
Dive into Time-Series Anomaly Detection: A Decade Review
by: Boniol, Paul, et al.
Published: (2024)
by: Boniol, Paul, et al.
Published: (2024)
MSAD: A Deep Dive into Model Selection for Time series Anomaly Detection
by: Sylligardos, Emmanouil, et al.
Published: (2025)
by: Sylligardos, Emmanouil, et al.
Published: (2025)
SEAnet: A Deep Learning Architecture for Data Series Similarity Search
by: Wang, Qitong, et al.
Published: (2026)
by: Wang, Qitong, et al.
Published: (2026)
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection
by: Boniol, Paul, et al.
Published: (2025)
by: Boniol, Paul, et al.
Published: (2025)
GALACTIC: Global and Local Agnostic Counterfactuals for Time-series Clustering
by: Fragkathoulas, Christos, et al.
Published: (2026)
by: Fragkathoulas, Christos, et al.
Published: (2026)
ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series
by: Petralia, Adrien, et al.
Published: (2023)
by: Petralia, Adrien, et al.
Published: (2023)
User-friendly Foundation Model Adapters for Multivariate Time Series Classification
by: Feofanov, Vasilii, et al.
Published: (2024)
by: Feofanov, Vasilii, et al.
Published: (2024)
Toward Interpretable Evaluation Measures for Time Series Segmentation
by: Chavelli, Félix, et al.
Published: (2025)
by: Chavelli, Félix, et al.
Published: (2025)
TiVy: Time Series Visual Summary for Scalable Visualization
by: Chan, Gromit Yeuk-Yin, et al.
Published: (2025)
by: Chan, Gromit Yeuk-Yin, et al.
Published: (2025)
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
by: Ilbert, Romain, et al.
Published: (2024)
by: Ilbert, Romain, et al.
Published: (2024)
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
by: Ilbert, Romain, et al.
Published: (2024)
by: Ilbert, Romain, et al.
Published: (2024)
NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity
by: Petralia, Adrien, et al.
Published: (2025)
by: Petralia, Adrien, et al.
Published: (2025)
Discovering Communities in Continuous-Time Temporal Networks by Optimizing L-Modularity
by: Brabant, Victor, et al.
Published: (2025)
by: Brabant, Victor, et al.
Published: (2025)
CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data
by: Xie, Shifeng, et al.
Published: (2025)
by: Xie, Shifeng, et al.
Published: (2025)
Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference
by: Fang, Juntao, et al.
Published: (2026)
by: Fang, Juntao, et al.
Published: (2026)
ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs
by: Qi, Yanlin, et al.
Published: (2026)
by: Qi, Yanlin, et al.
Published: (2026)
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
by: Cini, Andrea, et al.
Published: (2023)
by: Cini, Andrea, et al.
Published: (2023)
Investigating simple target-covariate relationships for Chronos-2 and TabPFN-TS
by: Berthelier, Gaspard, et al.
Published: (2026)
by: Berthelier, Gaspard, et al.
Published: (2026)
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
by: Lin, Xiaotian, et al.
Published: (2025)
by: Lin, Xiaotian, et al.
Published: (2025)
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting
by: Liu, Qinshuo, et al.
Published: (2024)
by: Liu, Qinshuo, et al.
Published: (2024)
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting
by: Ilbert, Romain, et al.
Published: (2023)
by: Ilbert, Romain, et al.
Published: (2023)
Fuzzy Cluster-Aware Contrastive Clustering for Time Series
by: Wang, Congyu, et al.
Published: (2025)
by: Wang, Congyu, et al.
Published: (2025)
Grasynda: Graph-based Synthetic Time Series Generation
by: Amorim, Luis, et al.
Published: (2026)
by: Amorim, Luis, et al.
Published: (2026)
LeaFi: Data Series Indexes on Steroids with Learned Filters
by: Wang, Qitong, et al.
Published: (2025)
by: Wang, Qitong, et al.
Published: (2025)
Amortized Neural Clustering of Time Series based on Statistical Features
by: López-Oriona, Ángel, et al.
Published: (2026)
by: López-Oriona, Ángel, et al.
Published: (2026)
Longitudinal Modularity, a Modularity for Link Streams
by: Brabant, Victor, et al.
Published: (2024)
by: Brabant, Victor, et al.
Published: (2024)
Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art
by: Azizi, Ilias, et al.
Published: (2025)
by: Azizi, Ilias, et al.
Published: (2025)
Towards Explainable Deep Clustering for Time Series Data
by: Schlegel, Udo, et al.
Published: (2025)
by: Schlegel, Udo, et al.
Published: (2025)
TimeART: Towards Agentic Time Series Reasoning via Tool-Augmentation
by: Wu, Xingjian, et al.
Published: (2026)
by: Wu, Xingjian, et al.
Published: (2026)
Line Space Clustering (LSC): Feature-Based Clustering using K-medians and Dynamic Time Warping for Versatility
by: Chulev, Joanikij, et al.
Published: (2025)
by: Chulev, Joanikij, et al.
Published: (2025)
Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series
by: Liu, Mingzhu, et al.
Published: (2024)
by: Liu, Mingzhu, et al.
Published: (2024)
Concrete Dense Network for Long-Sequence Time Series Clustering
by: Taloma, Redemptor Jr Laceda, et al.
Published: (2024)
by: Taloma, Redemptor Jr Laceda, et al.
Published: (2024)
Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering
by: Holder, Christopher, et al.
Published: (2024)
by: Holder, Christopher, et al.
Published: (2024)
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2024)
by: Qiu, Xiangfei, et al.
Published: (2024)
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework
by: Afzali, Amirabbas, et al.
Published: (2024)
by: Afzali, Amirabbas, et al.
Published: (2024)
Interval Fisher's Discriminant Analysis and Visualisation
by: Pinheiro, Diogo, et al.
Published: (2025)
by: Pinheiro, Diogo, et al.
Published: (2025)
Improving Internet Traffic Matrix Prediction via Time Series Clustering
by: Cash, Martha, et al.
Published: (2025)
by: Cash, Martha, et al.
Published: (2025)
Similar Items
-
$k$-Graph: A Graph Embedding for Interpretable Time Series Clustering
by: Boniol, Paul, et al.
Published: (2025) -
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series
by: Petralia, Adrien, et al.
Published: (2025) -
Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series
by: Petralia, Adrien, et al.
Published: (2025) -
Dive into Time-Series Anomaly Detection: A Decade Review
by: Boniol, Paul, et al.
Published: (2024) -
MSAD: A Deep Dive into Model Selection for Time series Anomaly Detection
by: Sylligardos, Emmanouil, et al.
Published: (2025)