:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jin, Chenxiang, Zhou, Jiajun, Xie, Chenxuan, Yu, Shanqing, Xuan, Qi, Yang, Xiaoniu
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2408.00641
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

Data Augmentation on Graphs: A Technical Survey
by: Zhou, Jiajun, et al.
Published: (2022)

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

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

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

Network Anomaly Traffic Detection via Multi-view Feature Fusion
by: Hao, Song, et al.
Published: (2024)

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

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

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

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

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

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

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

Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning
by: Sun, Jianguo, et al.
Published: (2024)

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

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

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

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

MDM: Advancing Multi-Domain Distribution Matching for Automatic Modulation Recognition Dataset Synthesis
by: Xu, Dongwei, et al.
Published: (2024)

SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning
by: Li, Kaidi, et al.
Published: (2024)

Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning
by: Qi, Qi, et al.
Published: (2024)

A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models
by: Lu, Yao, et al.
Published: (2024)

LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding
by: Jia, Yifan, et al.
Published: (2025)

The Structural Scalpel: Automated Contiguous Layer Pruning for Large Language Models
by: Lu, Yao, et al.
Published: (2025)

GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs
by: Reynisson, Kristófer, et al.
Published: (2024)

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
by: Xiang, Sheng, et al.
Published: (2024)

RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively
by: Lu, Yao, et al.
Published: (2024)

Deep Learning for Multi-Antenna Modulation Recognition of Radio Signals
by: Chen, Tao, et al.
Published: (2026)

Credit Card Fraud Detection Using Advanced Transformer Model
by: Yu, Chang, et al.
Published: (2024)

LLM-Enhanced Self-Evolving Reinforcement Learning for Multi-Step E-Commerce Payment Fraud Risk Detection
by: Qu, Bo, et al.
Published: (2025)

CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
by: Darban, Zahra Zamanzadeh, et al.
Published: (2023)

FraudTransformer: Time-Aware GPT for Transaction Fraud Detection
by: Aminian, Gholamali, et al.
Published: (2025)

PolyCL: Contrastive Learning for Polymer Representation Learning via Explicit and Implicit Augmentations
by: Zhou, Jiajun, et al.
Published: (2024)

Understanding Self-supervised Contrastive Learning through Supervised Objectives
by: Lee, Byeongchan
Published: (2025)

Addressing Noise and Stochasticity in Fraud Detection for Service Networks
by: Zhang, Wenxin, et al.
Published: (2025)

FraudFox: Adaptable Fraud Detection in the Real World
by: Butler, Matthew, et al.
Published: (2026)

Detecting Financial Bots on the Ethereum Blockchain
by: Niedermayer, Thomas, et al.
Published: (2024)