Node2vec and arXiv data 2019-08-15 Artificial Intelligence, Computer Science, Knowledge Graph Mining Academic Publication, Knowledge Graph, Node2vec Since its publication in 2016 by Aditya Grover and Jure Leskovec, Node2vec has […]
Computer Science
Linked Data – Past, present (2019) and future
Linked Data – Past, present (2019) and future 2019-06-14 Semantic Web Eurostat, Knowledge Graph, Linked Data, Semantic Web, Wikidata About two weeks ago, I had the pleasure to give a […]
Linked Data: combining data from Wikidata and Eurostat datasets
With the rise of open data, it has never been so simple to access data from different sources and use them jointly. In this post, we will consume data expressed […]
Knowledge Graph Features and Explanation
Although latent feature models such as TransE are demonstrating state-of-the-art performance in the task of link prediction in knowledge graphs, they act as a black box. Latent feature models rely […]
Translating Embeddings (TransE)
In this post I present Translating Embeddings (TransE), a method for the prediction of missing relationships in knowledge graphs. Rather than digging into the mathematics, I focus on presenting the […]
WebGL
Using effective animations, Steven Wittens presents the foundation behind WebGL such as rasterisation, aliasing, pixel sampling and their relation to Linear Algebra. For instance, a transformation of a 2D space […]