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.
End-to-end graph AML investigator with explainable scoring, what-if analysis, and operator-facing UI.
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.
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.
Compare LLM text embeddings with structure-aware Graph AI (GNN link prediction) on any dataset with nodes, text, and edges.
Conditional VGAE for generating synthetic temporal contact networks from node metadata
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.
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.
Graph representation learning — reproducing and analyzing core methods for academic study
Graph-native fraud ring detection with hybrid ML/DL scoring, explainability, and production observability.
Self-Supervised Similarity Learning of Floor Layouts
LaTeX research writing repo with structured build workflow and supporting artifacts.
Use NetworkViz to visualize IP Traffic flow as Graph ML problem
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