:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Wu, Ko-Wen
Format:	Recurso digital
Language:
Published:	Zenodo 2026
Online Access:	https://doi.org/10.5281/zenodo.19640730
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Scalability of GNNs for Molecular Graphs
by: Sypetkowski, Maciej, et al.
Published: (2024)

Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency
by: Chen, Rongqin, et al.
Published: (2025)

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum
by: Xu, Fan, et al.
Published: (2023)

MSQ: Memory-Efficient Bit Sparsification Quantization
by: Han, Seokho, et al.
Published: (2025)

Efficient Distributed Training through Gradient Compression with Sparsification and Quantization Techniques
by: Singh, Shruti, et al.
Published: (2024)

Financial Fraud Detection using Quantum Graph Neural Networks
by: Innan, Nouhaila, et al.
Published: (2023)

Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism
by: Chagahi, Mehdi Hosseini, et al.
Published: (2024)

Efficient Unbiased Sparsification
by: Barnes, Leighton, et al.
Published: (2024)

Graph Sparsification via Mixture of Graphs
by: Zhang, Guibin, et al.
Published: (2024)

Financial Fraud Detection using Jump-Attentive Graph Neural Networks
by: Kadam, Prashank
Published: (2024)

Spectral Neural Graph Sparsification
by: Liguori, Angelica, et al.
Published: (2025)

Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks (Journal Version)
by: Zhao, Zhongyuan, et al.
Published: (2025)

A Federated Approach to Scalable and Trustworthy Financial Fraud Detection
by: Yaser Alhasawi, et al.
Published: (2025)

Partitioning Message Passing for Graph Fraud Detection
by: Zhuo, Wei, et al.
Published: (2024)

CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
by: Grötschla, Florian, et al.
Published: (2024)

Graph-Based Fraud Detection with Dual-Path Graph Filtering
by: He, Wei, et al.
Published: (2026)

Adaptive Fraud Detection in Online Transactions Using Machine Learning Techniques
by: VELIDI, SRIRAM CHOWDARY
Published: (2025)

Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques
by: Osterrieder, Joerg, et al.
Published: (2024)

Advanced Fraud Detection System Real Time Fraud Detection Of Online Payment Frauds
by: Deepak KV, Bhuvan MM, Beerappa
Published: (2026)

Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection
by: Panth, Prajwal, et al.
Published: (2026)

Palette Sparsification for Graphs with Sparse Neighborhoods
by: Dhawan, Abhishek
Published: (2024)

Empirical Error Estimates for Graph Sparsification
by: Wang, Siyao, et al.
Published: (2025)

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
by: Xie, Beini, et al.
Published: (2024)

Sparsification of the Generalized Persistence Diagrams for Scalability through Gradient Descent
by: Carrière, Mathieu, et al.
Published: (2024)

Graph-Based Financial Fraud Detection with Calibrated Risk Scoring and Structural Regularization
by: Nie, Yunfei, et al.
Published: (2026)

SAGE: Scalable Automatic Gating Ensemble for Confident Negative Harvesting in Fraud Detection
by: Tubati, Sudheer, et al.
Published: (2026)

Online Sparsification of Bipartite-Like Clusters in Graphs
by: Das, Joyentanuj, et al.
Published: (2025)

Eulerian Graph Sparsification by Effective Resistance Decomposition
by: Jambulapati, Arun, et al.
Published: (2024)

MAC: Graph Sparsification by Maximizing Algebraic Connectivity
by: Doherty, Kevin, et al.
Published: (2024)

Benchmarking Fraud Detectors on Private Graph Data
by: Goldberg, Alexander, et al.
Published: (2025)

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

Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection
by: Li, Yuan, et al.
Published: (2026)

Message Passing on the Edge: Towards Scalable and Expressive GNNs
by: Barceló, Pablo, et al.
Published: (2025)

Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection
by: Singh, Moirangthem Tiken, et al.
Published: (2024)

Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph
by: Xu, Zequan, et al.
Published: (2023)

Graph Neural Networks for Financial Fraud Detection: A Review
by: Cheng, Dawei, et al.
Published: (2024)

Corporate Fraud Detection in Rich-yet-Noisy Financial Graph
by: Wang, Shiqi, et al.
Published: (2025)

Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection
by: Kim, Heehyeon, et al.
Published: (2023)

Dual-channel Heterophilic Message Passing for Graph Fraud Detection
by: Zhang, Wenxin, et al.
Published: (2025)

Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection
by: Yang, Jie, et al.
Published: (2025)