Unicosys Hypergraph Knowledge Model

A trainable knowledge graph embedding model encoding the unified evidence hypergraph for Case 2025-137857.

Model Description

This model encodes a unified hypergraph linking financial transactions, email communications, legal evidence, and entity relationships into a single trainable knowledge representation.

Architecture

Knowledge Graph Statistics

Subsystems

Training

The model can be fine-tuned on link prediction tasks:

from model.unicosys_model import UnicosysHypergraphModel, UnicosysConfig

model = UnicosysHypergraphModel.from_pretrained("hyperholmes/unicosys-hypergraph")
# ... prepare training data ...
# model.forward(node_ids, node_type_ids, subsystem_ids, edge_index, edge_type_ids,
#               pos_edge_index=pos, neg_edge_index=neg, labels=labels)

Files

• model.safetensors — Model weights
• config.json — Model configuration
• graph_data.safetensors — Encoded graph tensors (nodes, edges)
• tokenizer.json — Character-level tokenizer for node labels
• node_id_mapping.json — Node ID string to integer index mapping
• model_summary.json — Compact statistics summary

Source

Generated by the Unicosys intelligence pipeline.