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Dan Faucitt

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Models

Model · Graph ml

unicosys-hypergraph

Dan Faucitt

A trainable knowledge graph embedding model encoding the unified evidence hypergraph for Case 2025-137857. This model encodes a unified hypergraph linking financial transactions, email communications, legal evidence, and entity relationships into a single trainable knowledge representation. The model can be fine-tuned on link prediction tasks: - model.safetensors — Model weights - config.json — Model configuration - graphdata.safetensors — Encoded graph tensors (nodes, edges) - tokenizer.json — Character-level tokenizer for node labels - nodeidmapping.json — Node ID string to integer index mapping - modelsummary.json — Compact statistics summary Generated by the Unicosys intelligence…

Open weights mit 35M parameters transformers