A Multi-graph Multi-head Adaptive Temporal Graph Convolutional Network
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Updated
May 21, 2023 - Python
A Multi-graph Multi-head Adaptive Temporal Graph Convolutional Network
The source code of paper in ICONIP "Shared-Attribute Multi-Graph Clustering with Global Self-Attention"
A framework for advanced multi-graph analysis and method development
This repository implements a hierarchical, multi-level directed graph modeling class called HierarchicalGraph. It supports rich metadata on both nodes and edges, multi-edge support, clustered + colored visualization, graph merging, selective subgraph viewing, and structured attribute extraction.
Production adapters and pipelines for PortfolioCore. Vector stores (pgvector, Qdrant), graph stores (Neo4j), embedders (OpenAI), Broadway pipelines, advanced RAG (Self-RAG, CRAG, GraphRAG, Agentic), multi-graph federation, and observability.
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