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- sage-xgb Public
A training pipeline using GraphSAGE and XGBoost to flag money-laundering transactions in IBM AMLworld. It reads the transactions of one AMLworld Variant, trains a GraphSAGE graph neural network (GNN) on the account graph, and hands the GNN output to an XGBoost classifier together with hand-built account features.
- agentic-graphrag Public
Agentic GraphRAG is an open source framework that builds a graph connecting your enterprise knowledge to the conversations your agents have and the decisions they make. Each decision links back to the passages and task events behind it, so agents can look up earlier decisions with their evidence, resume work across sessions.
- agentic-med-diag Public
Agentic Graph RAG for Medical diagnosis and Clinical QA. Combines LangGraph-orchestrated multi-hop reasoning with parallel graph, vector, community, and text-to-Cypher retrieval with an agentic plan–research–verify loop for evidence-grounded answers on MedQA, MedXpertQA, MedCaseReasoning and MMLU-Pro.
- ontogr-agent-memory Public
OntoGr Agent Memory is an open source Python library that stores what an agent learned, where it learned it, and when it was true. It ingests source material as episodes, extracts entities and facts, resolves duplicate entities, reconciles facts on two time axes, and returns a budgeted context block that is ready for an answering model.
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