most citedTransCrimeNet: A Transformer-Based Model for Text-Based Crime Prediction in Criminal Networks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CR2026

TAS-GNN: A Status-Aware Signed Graph Neural Network for Anomaly Detection in Bitcoin Trust Systems

Chang Xue, Fang Liu, Jiaye Wang +2

Decentralized financial platforms rely heavily on Web of Trust reputation systems to mitigate counterparty risk in the absence of centralized identity verification. However, these…

cs.SI2023

CrimeGAT: Leveraging Graph Attention Networks for Enhanced Predictive Policing in Criminal Networks

Chen Yang

In this paper, we present CrimeGAT, a novel application of Graph Attention Networks (GATs) for predictive policing in criminal networks. Criminal networks pose unique challenges fo…

cs.SI2023

CrimeGraphNet: Link Prediction in Criminal Networks with Graph Convolutional Networks

Chen Yang

In this paper, we introduce CrimeGraphNet, a novel approach for link prediction in criminal networks utilizingGraph Convolutional Networks (GCNs). Criminal networks are intricate a…

cs.SI2023

CrimeGNN: Harnessing the Power of Graph Neural Networks for Community Detection in Criminal Networks

Chen Yang

In this paper, we introduce CrimeGNN, a novel application of Graph Neural Networks (GNNs) specifically designed to uncover hidden communities within criminal networks. As criminal…

cs.CY20231 cited

TransCrimeNet: A Transformer-Based Model for Text-Based Crime Prediction in Criminal Networks

Chen Yang

This paper presents TransCrimeNet, a novel transformer-based model for predicting future crimes in criminal networks from textual data. Criminal network analysis has become vital f…