:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zheng, Lecheng, Birge, John R., Wu, Haiyue, Zhang, Yifang, He, Jingrui
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2409.09770
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

Trustworthy Transfer Learning: A Survey
by: Wu, Jun, et al.
Published: (2024)

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

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

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

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

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

Meta Clustering of Neural Bandits
by: Ban, Yikun, et al.
Published: (2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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