Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

Think-on-Graph 2.0 (ToG-2) is an approach that tightly integrates Knowledge Graphs with textual documents to enhance the multi-step reasoning capabilities of Large Language Models (LLMs ...

Thus, network connectivity is fully described by the binary mask, which is modulated by a unit step function. We theoretically prove the fundamental principle of using a straight-through estimator ...