EDAM_all-MiniLM-L6-v2_concat_gcn_h128_o64_cross_entropy_e128_knowledge

Model Details

• Base Model: sentence-transformers/all-MiniLM-L6-v2
• Architecture: Knowledge-Enhanced Transformer (experimental)
• Knowledge Dim: 1024
• Max Concepts: 3
• Created with: on2vec knowledge-enhanced architecture

Usage

Architecture

• Token embeddings are enhanced with ontology knowledge during forward pass
• End-to-end training in unified representation space
• No separate lookup/fusion step