Latest Research in Machine Learning
18 research papers · 2026 median publication year
Top Research Topics in Machine Learning
- Machine Learning — 6 papers
- Advanced Graph Neural Networks — 4 papers
- Cryptography and Security — 2 papers
- Social and Information Networks — 1 papers
- Artificial Intelligence — 1 papers
- Audio and Speech Processing — 1 papers
- Crime, Illicit Activities, and Governance — 1 papers
- Financial Distress and Bankruptcy Prediction — 1 papers
- Supply Chain Resilience and Risk Management — 1 papers
Highest-Cited Papers
- An Interpretable Approach to Money Laundering Detection in Transaction Graphs using Pass-Through Templates
- Perception, Layout, and Validation: Calibrated Confidence for Reliable Straight-Through Processing of Financial Documents
- Reviving Etter method for autoregressive inpainting: Generalization, evaluation, implementation
- Graph-Transformer Fraud Detection with Self-Supervised Pretraining and Conformal Risk Control
- MGCNLLaMA: Multi-graph convolutional networks with lightweight LLaMA-style transformer encoder integration for dynamic fraud detection in cryptocurrency networks
- FINESSE: An Agent-Based Simulator and Benchmark Dataset for Multimodal Financial Event Sequences
- Coverage and Protocol-Aware Evaluation of Risk Enrichment and Graph-Tabular Learning for Anti-Money Laundering and Fraud Detection
- GraphFAS: A Distributed System for Automated Graph Feature Generation and Selection in Industrial Transaction Networks
- ML ‐ SGNN : A Novel Similarity‐Based Graph Neural Network With Meta‐Learning for Credit Classification With Low Sample Size
- Temporal Heterogeneous Graph Transformer for Credit Card Fraud Detection
- Combating Organized Platform Abuse: Amplifying Weak Risk Signals with Structural Information
- CATeye: Coupled Attribute-Topology Invariance Learning for Voucher Abuse Detection
- Isolating Graph Topology from Model Architecture in GNN-Based Fraud Detection: An Empirical Framework
- CFGN: causal flow graph networks for causally-aware fraud detection in imbalanced transaction graphs
- HDN-GFD: Hypergraph neural network with dynamic neighborhood aggregation for graph-based camouflaged fraud detection
- Graph-based AI approaches for supply chain risk and fraud detection
- PRAGMA: Revolut Foundation Model
- KONTOGRAPH: Verified Point-in-Time Feature Consistency and Amortised Explanation for Real-Time Anti-Money Laundering under a 200 ms Decision Budget