:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Zheng, Lecheng, Birge, John R., Wu, Haiyue, Zhang, Yifang, He, Jingrui
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2409.09770
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Fair Anomaly Detection For Imbalanced Groups
por: Wu, Ziwei, et al.
Publicado: (2024)

OWLEYE: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection
por: Zheng, Lecheng, et al.
Publicado: (2026)

Mechanism Design for Decentralized Risk Detection: Strict Propriety, Network Coalitions, and the Backfiring Mandat
por: Ni, Jian, et al.
Publicado: (2026)

Multi-modal Causal Structure Learning and Root Cause Analysis
por: Zheng, Lecheng, et al.
Publicado: (2024)

Heterogeneous Contrastive Learning for Foundation Models and Beyond
por: Zheng, Lecheng, et al.
Publicado: (2024)

Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
por: Liu, Yunhui, et al.
Publicado: (2025)

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
por: Li, Zihao, et al.
Publicado: (2024)

Networked Markets, Fragmented Data: Adaptive Graph Learning for Customer Risk Analytics and Policy Design
por: Zheng, Lecheng, et al.
Publicado: (2025)

FAME: Failure-Aware Mixture-of-Experts for Message-Level Log Anomaly Detection
por: Wang, Huanchi, et al.
Publicado: (2026)

PyG-SSL: A Graph Self-Supervised Learning Toolkit
por: Zheng, Lecheng, et al.
Publicado: (2024)

Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection
por: Fu, Dongqi, et al.
Publicado: (2024)

Trustworthy Transfer Learning: A Survey
por: Wu, Jun, et al.
Publicado: (2024)

Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality
por: Li, Zihao, et al.
Publicado: (2024)

Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to Hypergraphs
por: Li, Zihao, et al.
Publicado: (2024)

Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series
por: Pei, Yunhua, et al.
Publicado: (2026)

Context-Aware Graph Attention for Unsupervised Telco Anomaly Detection
por: Malacarne, Sara, et al.
Publicado: (2026)

Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series
por: Murad, Md Mahmuddun Nabi, et al.
Publicado: (2025)

Meta Clustering of Neural Bandits
por: Ban, Yikun, et al.
Publicado: (2024)

BOBA: Byzantine-Robust Federated Learning with Label Skewness
por: Bao, Wenxuan, et al.
Publicado: (2022)

Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative
por: Li, Zihao, et al.
Publicado: (2025)

UMGAD: Unsupervised Multiplex Graph Anomaly Detection
por: Li, Xiang, et al.
Publicado: (2024)

SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
por: Li, Zihao, et al.
Publicado: (2024)

Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach
por: Liu, Yunhui, et al.
Publicado: (2026)

Towards Cross-domain Few-shot Graph Anomaly Detection
por: Chen, Jiazhen, et al.
Publicado: (2024)

Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering
por: Liu, Yunhui, et al.
Publicado: (2024)

Alleviating Structural Distribution Shift in Graph Anomaly Detection
por: Gao, Yuan, et al.
Publicado: (2024)

Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection
por: Zhang, Rui, et al.
Publicado: (2024)

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
por: Bao, Wenxuan, et al.
Publicado: (2024)

Graph4MM: Weaving Multimodal Learning with Structural Information
por: Ning, Xuying, et al.
Publicado: (2025)

Statistical Inference for Clustering-based Anomaly Detection
por: Phu, Nguyen Thi Minh, et al.
Publicado: (2025)

Online Multi-modal Root Cause Identification in Microservice Systems
por: Zheng, Lecheng, et al.
Publicado: (2024)

CGSTA: Cross-Scale Graph Contrast with Stability-Aware Alignment for Multivariate Time-Series Anomaly Detection
por: Qi, Zhongpeng, et al.
Publicado: (2026)

CRC-SGAD: Conformal Risk Control for Supervised Graph Anomaly Detection
por: Bai, Songran, et al.
Publicado: (2025)

Context-Aware Trajectory Anomaly Detection
por: Hu, Haoji, et al.
Publicado: (2024)

GLADformer: A Mixed Perspective for Graph-level Anomaly Detection
por: Xu, Fan, et al.
Publicado: (2024)

From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection
por: Liu, Yixin, et al.
Publicado: (2026)

Dynamic Mixture-of-Experts for Incremental Graph Learning
por: Kong, Lecheng, et al.
Publicado: (2025)

Redundancy-Aware Test-Time Graph Out-of-Distribution Detection
por: Hou, Yue, et al.
Publicado: (2025)

Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection
por: Chen, Jiazhen, et al.
Publicado: (2025)

Anomaly Detection and Classification in Knowledge Graphs
por: Senaratne, Asara, et al.
Publicado: (2024)