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.

Machine learning on graphs

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

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.

Conditional VGAE for generating synthetic temporal contact networks from node metadata

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

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.

Self-Supervised Similarity Learning of Floor Layouts

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

LaTeX research writing repo with structured build workflow and supporting artifacts.

Use NetworkViz to visualize IP Traffic flow as Graph ML problem

Production-grade AML intelligence platform combining Graph ML, XGBoost, and LLMs with explainability and local deployment.