graph-ai

A modern multimodal knowledge graph with type-specific metadata across biomedical domains.

Graph AI for Quantitative Evaluation of Compatibility in Traditional Chinese Medicine (TCM)

Knowledge-, capability-, and trust-aware framework for discovering, validating, selecting, and orchestrating heterogeneous AI agents across cloud, marketplace, enterprise, and edge environments, with A2A interoperability and outcome-driven reputation learning.

Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems

An explainable AI system that combines Graph Intelligence, Vector Search, and Retrieval-Augmented Generation (RAG) to deliver grounded answers and transparent reasoning paths. Includes a FastAPI backend, Streamlit UI, FAISS vector index, and an in-memory knowledge graph for hybrid retrieval and recommendations.

Graph harness for AI agents: a governed runtime on bipartite graphs (places and transitions) that executes models with scoped permissions, durable state and replayable history.

AI-native Agentic AI platform for customs & HTS classification, tariff analysis, trade compliance and multi-tier supply chain risk intelligence.

From MVP to business value: explainable AML AI ready for real-world deployment.

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

🧠 Graph-based RAG system that transforms unstructured data into knowledge graphs for deeper reasoning and contextual AI responses. Combines LLMs, graph traversal & semantic search to enable multi-hop question answering and structured insights.

CUDA 13 graph AI examples using cuGraph, PyTorch Geometric, GraphSAGE, transaction graphs, and reproducible CPU/GPU workflows.

https://himanshuvnm.github.io/gift-kastl/ 2025 SciFM Conference Research Poster on the graph foundation model on the Discrete Fracture Networks dataset. We introduced a novel neural net layer to achieve high-end approximation based on the Kolmogorov-Arnold Superposition Theorem which now is also used in constructing KAN.

Explore AI writing systems with agents, graphs, adapters, RAG, and multi-model generation workflow.

AI-powered biomedical evidence intelligence platform that transforms PubMed literature into structured claims, knowledge graphs, research briefs, and evidence-grounded AI insights.

Graph AI platform connecting equipment, processes, materials, and failure modes — enabling complex relationship queries and causal analysis across manufacturing operations

Knowledge Graph & Reasoning Engine that analyzes Python Typing PEPs to surface historical precedents, design debates, and grounded recommendations for new language proposals.