:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hao, Song, Fu, Wentao, Chen, Xuanze, Jin, Chengxiang, Zhou, Jiajun, Yu, Shanqing, Xuan, Qi
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2409.08020
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification
by: Chen, Xuanze, et al.
Published: (2024)

Dual-view Aware Smart Contract Vulnerability Detection for Ethereum
by: Yao, Jiacheng, et al.
Published: (2024)

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph
by: Zhou, Jiajun, et al.
Published: (2025)

CrossHGL: A Text-Free Foundation Model for Cross-Domain Heterogeneous Graph Learning
by: Chen, Xuanze, et al.
Published: (2026)

Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
by: Peng, Songtao, et al.
Published: (2025)

Rethinking Graph Transformer Architecture Design for Node Classification
by: Zhou, Jiajun, et al.
Published: (2024)

Mixture of Message Passing Experts with Routing Entropy Regularization for Node Classification
by: Chen, Xuanze, et al.
Published: (2025)

Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection
by: Zhou, Jiajun, et al.
Published: (2024)

Clarify Confused Nodes via Separated Learning
by: Zhou, Jiajun, et al.
Published: (2023)

Time-aware Metapath Feature Augmentation for Ponzi Detection in Ethereum
by: Jin, Chengxiang, et al.
Published: (2022)

Learning How Much to Think: Difficulty-Aware Dynamic MoEs for Graph Node Classification
by: Zhou, Jiajun, et al.
Published: (2026)

Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision
by: Jin, Chenxiang, et al.
Published: (2024)

A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures
by: Song, Hao, et al.
Published: (2024)

Lateral Movement Detection via Time-aware Subgraph Classification on Authentication Logs
by: Zhou, Jiajun, et al.
Published: (2024)

Traffic-MoE: A Sparse Foundation Model for Network Traffic Analysis
by: Zhou, Jiajun, et al.
Published: (2026)

PathMLP: Smooth Path Towards High-order Homophily
by: Zhou, Jiajun, et al.
Published: (2023)

Adaptive Substructure-Aware Expert Model for Molecular Property Prediction
by: Jiang, Tianyi, et al.
Published: (2025)

Subgraph Networks Based Contrastive Learning
by: Wang, Jinhuan, et al.
Published: (2023)

Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning
by: Wang, Zitong, et al.
Published: (2024)

EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning
by: Wu, Lijin, et al.
Published: (2024)

A Knowledge-Guided Cross-Modal Feature Fusion Model for Local Traffic Demand Prediction
by: Zhang, Lingyu, et al.
Published: (2025)

Learning Feature Encoder with Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection
by: Zhou, Yingjie, et al.
Published: (2026)

Unveiling Latent Information in Transaction Hashes: Hypergraph Learning for Ethereum Ponzi Scheme Detection
by: Wu, Junhao, et al.
Published: (2025)

Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
by: Bei, Yuanchen, et al.
Published: (2024)

AnomalyAID: Reliable Interpretation for Semi-supervised Network Anomaly Detection
by: Yuan, Yachao, et al.
Published: (2024)

Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional Normalizing Flows
by: Dang, Zhangxuan, et al.
Published: (2024)

CNN+Transformer Based Anomaly Traffic Detection in UAV Networks for Emergency Rescue
by: Han, Yulu, et al.
Published: (2025)

Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning
by: Xu, Yiming, et al.
Published: (2025)

Minimum Width of Deep Narrow Networks for Universal Approximation
by: Yang, Xiao-Song, et al.
Published: (2025)

GNN-based Anomaly Detection for Encoded Network Traffic
by: Chattopadhyay, Anasuya, et al.
Published: (2024)

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware
by: Liu, Chaoqun, et al.
Published: (2024)

Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
by: Xu, Xinjie, et al.
Published: (2022)

Know Unreported Roadway Incidents in Real-time: Early Traffic Anomaly Detection
by: Duan, Haocheng, et al.
Published: (2024)

Anomaly Detection in Event-triggered Traffic Time Series via Similarity Learning
by: Dou, Shaoyu, et al.
Published: (2025)

LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection
by: Wang, Dezheng, et al.
Published: (2026)

Anomaly Detection via Autoencoder Composite Features and NCE
by: Liao, Yalin, et al.
Published: (2025)

Discovering Common Information in Multi-view Data
by: Zhang, Qi, et al.
Published: (2024)

Higher-order Structure Based Anomaly Detection on Attributed Networks
by: Yuan, Xu, et al.
Published: (2024)

Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor Segmentation
by: Qi, Yuxuan, et al.
Published: (2024)

Towards a Unified Framework of Clustering-based Anomaly Detection
by: Fang, Zeyu, et al.
Published: (2024)