Synthetic fraud graph generator for benchmarking graph-based fraud detection models in financial services.

[IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network

A Task-Oriented graph SAmpler for HGNN

CLEVR graph: A dataset for graph based reasoning

Graph-native AML investigation: 14 topology features, LightGBM scoring (ROC-AUC 0.87), path-level explanations, live case explorer.

Graph-based anomaly detection for Medicare Part B billing fraud using public CMS data.

Graph-RAG for Customer Journey Intelligence using NetworkX + LLM. Path-aware retrieval outperforming vector RAG on temporal queries, cohort comparison with real statistics, 5 pre-built analytics queries, and fully dockerized FastAPI/Streamlit architecture deployed on HuggingFace Spaces.

Graph ML platform for fraud ring detection using node2vec embeddings and community detection on transaction networks

A deep learning architecture combining spectral graph neural networks with curriculum learning for HOMO-LUMO gap prediction on PCQM4Mv2. Features a dual-view architecture with Chebyshev polynomial-based spectral convolutions and complexity-driven training schedules.

Prototype graph-based anomaly detection for Medicare skin substitute billing patterns.

Self-Supervised Similarity Learning of Floor Layouts

GCP-aligned financial crime ML platform for fraud detection, AML risk scoring, anomaly detection, graph risk, NLP alert triage, monitoring, and governance evidence.

Graph representation learning — reproducing and analyzing core methods for academic study

A deep learning approach for molecular property prediction that introduces hierarchical attention pooling to capture scaffold-aware representations. The model aggregates atom features within functional groups before global pooling, combined with scaffold-based curriculum learning for improved generalization across diverse chemical structures.