https://blog.statsbot.co/probabilistic-graphical-models-tutorial-and-solutions-e4f1d72af189 https://blog.statsbot.co/probabilistic-graphical-models-tutorial-d855ba0107d1 KG EMBEDDING WITH FACTS ALONE (仅基于事实的KG嵌入) 给定一个KG,有n个实体和m条关系. 其中已经观察到的事实用三元组的形式存储,D...
Graph Mining & Learning (Neurips 2020 tutorial) [Link] Discussion about GNN (Chinese) [Link] Stanford CS224n: Natural Language Processing with Deep Learning [Course site] Clique Relaxation Models in Networks: Theory, Algorithms, and Applications [Slides] KG Applications in Baidu (Chinese) [Link]...
Graph Mining & Learning (Neurips 2020 tutorial) [Link] Discussion about GNN (Chinese) [Link] Stanford CS224n: Natural Language Processing with Deep Learning [Course site] Clique Relaxation Models in Networks: Theory, Algorithms, and Applications [Slides] KG Applications in Baidu (Chinese) [Link]...
---知识图谱:综述、概念和发展--- Claudio Gutierrez and Juan F. Sequeda. A Brief History of Knowledge Graph's Main Ideas: A tutorial. ISWC2019 tutorial Noy N, Gao Y, Jain A, et al. Industry-scale knowledge graphs: Lessons and challenges. ACM Queue, 2019, 17(2): 48-75.附录...
EmbeddingGraph neural networksGraph convolutional networksIn the last few years, the interest in knowledge bases has grown exponentially in both the research community and the industry due to their essential role in AI applications. Entity alignment is an important task for enriching knowledge bases. ...
This tutorial provides a summary of the recent research in knowledge graph entity representation methods and retrieval models. The first part of this tutorial introduces state-of-the-art methods for entity representation, from multi-fielded documents with flat and hierarchical structure to latent ...
Tutorial Chairs: • Bing QING, Harbin Institute of Technology • Zhiyuan LIU, Tsinghua University Industry Forum Chairs: • Jun YANG, Microsoft Institute Asia • Dianxia XIE, Haizhi Inteligence Evaluation Chairs: • Zhichun WANG, Beijing Normal University ...
20151226_Representation Learning for Large-Scale Knowledge Graphs_ADL_public
PyKEENhas a wide variety of functionality related to knowledge graph embedding models and handling various sources of knowledge graphs. This post describes the journey towards properly testing the functionality of an exotic set of knowledge graph embedding models that incorporate feature vectors for entit...
MiningKnowledgeGraphsfrom Text WSDM 2018 Tutorial (schedule) February 5, 2018,1:30PM - 5:00PM... tutorial explains whyknowledgegraphsare important, howknowledgegraphsare constructed, and where new Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings ...