Node2vec and arXiv data

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 […]

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 […]

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 […]