Showing 1–20 of 117 results
/ Date/ Name
Jan 2, 2017HSEARCH: fast and accurate protein sequence motif search and clusteringAug 31, 2020Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly DetectionNov 13, 2020Learning to Drop: Robust Graph Neural Network via Topological DenoisingNov 20, 2018A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series DataDec 1, 2021Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency GraphMar 19, 2019Querying Streaming System Monitoring Data for Enterprise System Anomaly DetectionFeb 3, 2023Hierarchical Graph Neural Networks for Causal Discovery and Root Cause LocalizationOct 26, 2022Personalized Federated Learning via Heterogeneous Modular NetworksMay 1, 2023Personalized Federated Learning under Mixture of DistributionsOct 25, 2023DyExplainer: Explainable Dynamic Graph Neural NetworksOct 16, 2023Large Models for Time Series and Spatio-Temporal Data: A Survey and OutlookFeb 16, 2024Parametric Augmentation for Time Series Contrastive LearningMay 9, 2024LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the WildJan 31, 2025Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model UpdatingNov 19, 2022DeepGAR: Deep Graph Learning for Analogical ReasoningOct 3, 2023PrivacyMind: Large Language Models Can Be Contextual Privacy Protection LearnersJul 12, 2024RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point DetectionFeb 18, 2024InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge IntegrationMar 17, 2025Multi-modal Time Series Analysis: A Tutorial and SurveyJan 1, 2026Multi-Agent Coordinated Rename Refactoring