Latest Research in Machine Learning

18 research papers · 2026 median publication year

Top Research Topics in Machine Learning

Highest-Cited Papers

  1. An Interpretable Approach to Money Laundering Detection in Transaction Graphs using Pass-Through Templates
  2. Perception, Layout, and Validation: Calibrated Confidence for Reliable Straight-Through Processing of Financial Documents
  3. Reviving Etter method for autoregressive inpainting: Generalization, evaluation, implementation
  4. Graph-Transformer Fraud Detection with Self-Supervised Pretraining and Conformal Risk Control
  5. MGCNLLaMA: Multi-graph convolutional networks with lightweight LLaMA-style transformer encoder integration for dynamic fraud detection in cryptocurrency networks
  6. FINESSE: An Agent-Based Simulator and Benchmark Dataset for Multimodal Financial Event Sequences
  7. Coverage and Protocol-Aware Evaluation of Risk Enrichment and Graph-Tabular Learning for Anti-Money Laundering and Fraud Detection
  8. GraphFAS: A Distributed System for Automated Graph Feature Generation and Selection in Industrial Transaction Networks
  9. ML ‐ SGNN : A Novel Similarity‐Based Graph Neural Network With Meta‐Learning for Credit Classification With Low Sample Size
  10. Temporal Heterogeneous Graph Transformer for Credit Card Fraud Detection
  11. Combating Organized Platform Abuse: Amplifying Weak Risk Signals with Structural Information
  12. CATeye: Coupled Attribute-Topology Invariance Learning for Voucher Abuse Detection
  13. Isolating Graph Topology from Model Architecture in GNN-Based Fraud Detection: An Empirical Framework
  14. CFGN: causal flow graph networks for causally-aware fraud detection in imbalanced transaction graphs
  15. HDN-GFD: Hypergraph neural network with dynamic neighborhood aggregation for graph-based camouflaged fraud detection
  16. Graph-based AI approaches for supply chain risk and fraud detection
  17. PRAGMA: Revolut Foundation Model
  18. KONTOGRAPH: Verified Point-in-Time Feature Consistency and Amortised Explanation for Real-Time Anti-Money Laundering under a 200 ms Decision Budget
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L3 Region - - 2026 Sep Q3

Machine Learning

18 papers

Top Topics (9)

Machine Learning6
Advanced Graph Neural Networks4
Cryptography and Security2
Social and Information Networks1
Artificial Intelligence1
Audio and Speech Processing1
Crime, Illicit Activities, and Governance1
Financial Distress and Bankruptcy Prediction1
Supply Chain Resilience and Risk Management1

Top Publications (18)

1.An Interpretable Approach to Money Laundering Detection in Transaction Graphs using Pass-Through Templates2.Perception, Layout, and Validation: Calibrated Confidence for Reliable Straight-Through Processing of Financial Documents3.Reviving Etter method for autoregressive inpainting: Generalization, evaluation, implementation4.Graph-Transformer Fraud Detection with Self-Supervised Pretraining and Conformal Risk Control5.MGCNLLaMA: Multi-graph convolutional networks with lightweight LLaMA-style transformer encoder integration for dynamic fraud detection in cryptocurrency networks6.FINESSE: An Agent-Based Simulator and Benchmark Dataset for Multimodal Financial Event Sequences7.Coverage and Protocol-Aware Evaluation of Risk Enrichment and Graph-Tabular Learning for Anti-Money Laundering and Fraud Detection8.GraphFAS: A Distributed System for Automated Graph Feature Generation and Selection in Industrial Transaction Networks9.ML ‐ SGNN : A Novel Similarity‐Based Graph Neural Network With Meta‐Learning for Credit Classification With Low Sample Size10.Temporal Heterogeneous Graph Transformer for Credit Card Fraud Detection11.Combating Organized Platform Abuse: Amplifying Weak Risk Signals with Structural Information12.CATeye: Coupled Attribute-Topology Invariance Learning for Voucher Abuse Detection13.Isolating Graph Topology from Model Architecture in GNN-Based Fraud Detection: An Empirical Framework14.CFGN: causal flow graph networks for causally-aware fraud detection in imbalanced transaction graphs15.HDN-GFD: Hypergraph neural network with dynamic neighborhood aggregation for graph-based camouflaged fraud detection16.Graph-based AI approaches for supply chain risk and fraud detection17.PRAGMA: Revolut Foundation Model18.KONTOGRAPH: Verified Point-in-Time Feature Consistency and Amortised Explanation for Real-Time Anti-Money Laundering under a 200 ms Decision Budget
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