Graph Machine Learning
Transformers
Safetensors
English
unicosys_hypergraph
knowledge-graph
hypergraph
legal-evidence
graph-neural-network
unicosys
Instructions to use drzo/unicosys-hypergraph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drzo/unicosys-hypergraph with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("drzo/unicosys-hypergraph", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "case_number": "2025-137857", | |
| "total_nodes": 250000, | |
| "total_edges": 12813, | |
| "total_cross_links": 3660, | |
| "node_types": { | |
| "entity": 16, | |
| "entity_document": 12103, | |
| "timeline_event": 59955, | |
| "hypergraph_node": 29530, | |
| "fund_flow_analysis": 4, | |
| "email": 197855, | |
| "lex_scheme": 13, | |
| "legal_filing": 5 | |
| }, | |
| "edge_types": { | |
| "proves": 13474, | |
| "transaction_evidenced_by": 1 | |
| }, | |
| "subsystems": { | |
| "core": 16, | |
| "fincosys": 101429, | |
| "comcosys": 197855, | |
| "revstream1": 150, | |
| "ad_res_j7": 31 | |
| }, | |
| "model_params": 36023937, | |
| "model_architecture": { | |
| "node_embed_dim": 128, | |
| "text_embed_dim": 256, | |
| "hidden_dim": 256, | |
| "gat_layers": 2, | |
| "gat_heads": 4, | |
| "text_encoder_layers": 2 | |
| } | |
| } |