方法证据记录
Directed Knowledge Graph Analysis
Directed Knowledge Graph Analysis represents factual knowledge as a directed labeled multigraph of entities (nodes) and typed relations (directed edges), enabling structured reasoning, inference, and discovery over large heterogeneous datasets. The direction of edges encodes asymmetric relationships such as 'authored-by', 'causes', or 'is-a', making the graph semantically richer than undirected alternatives.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Directed Knowledge Graph Analysis (Graph-Based Knowledge Representation and Reasoning)
分类方法记录 · ml-model / network-analysis
- Hogan, A., Blomqvist, E., Cochez, M., d'Amato, C., Melo, G. D., Gutierrez, C., ... & Polleres, A. (2021). Knowledge graphs. ACM Computing Surveys, 54(4), 1–37. · DOI 10.1145/3447772
- Wang, Z., Zhang, J., Feng, J., & Chen, Z. (2014). Knowledge Graph Embedding by Translating on Hyperplanes. Proceedings of the AAAI Conference on Artificial Intelligence, 28(1), 1112–1119. · URL
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