graph-ml

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

Tutorials for Machine Learning on Graphs

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

Research Project I completed under Dr Vinti Agrawal at BITS Pilani.

Data and code for Salesforce Research paper, GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning - https://arxiv.org/abs/2012.03900 . The paper provides methods for constraint graph augmentation and optimal facility placement problems

Pure Go machine learning framework. Train, run, and serve ML models with go build. Zero CGo.

A Task-Oriented graph SAmpler for HGNN

CLEVR graph: A dataset for graph based reasoning

Production-grade fraud detection pipeline with entity-level behavioral feature engineering, velocity anomaly detection, graph-based risk signals, and real-time scoring API. Built with XGBoost, PyTorch, FastAPI, and Docker.

This repository is the result of my self-study journey and a testament to the value of learning independently. It was created to inspire others to explore AI, understand what happens under the hood, and leave behind something that continues to teach long after I am gone.

Compare LLM text embeddings with structure-aware Graph AI (GNN link prediction) on any dataset with nodes, text, and edges.

Avaliação de integridade e risco de fornecedores públicos. Cruza dados de sanções, processos e idoneidade com ML e análise de grafo.

Graph ML on the Harry Potter universe — GCN allegiance classifier, Louvain community detection, and structural double agent detection. Snape flagged as mathematical anomaly without reading the plot.

Graph-native AML triage on a synthetic 3,061-node graph: 14 NetworkX features, LightGBM, path explanations.

Machine learning on graphs

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

Conditional VGAE for generating synthetic temporal contact networks from node metadata

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Detecção de lavagem de dinheiro com análise de grafos. Identifica estruturas suspeitas, smurfing e contas laranja em redes de transações.