两种语言 发表于 2025-3-30 10:17:42
graphs to compute only the most relevant relations and entities. This way, we can integrate multiple reasoning paths more flexibly to achieve better interpretable reasoning, while scaling more easily to more complex and larger KGs. DyNBF consists of two key modules: 1) a transformer-based relation w单片眼镜 发表于 2025-3-30 12:41:15
Gonzague Yernaux,Wim Vanhoofrget graph based on a specified hop count limit, we incorporate and embed a repeat-free neighborhood structure using a two-layer GNN. Then we generate the relation constrains of subgraphs based on vector order embedding to form the embedding space. Finally, approximate subgraph matching can be reali