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

Knowledge Graph Features and Explanation 2017-10-23 Knowledge Graph Mining Explanation, Knowledge Graph, Link Prediction Although latent feature models such as TransE are demonstrating state-of-the-art performance in the task of link […]

Translating Embeddings (TransE)

Translating Embeddings (TransE) 2017-08-29 Artificial Intelligence, Computer Science, Knowledge Graph Mining Knowledge Graph, Link Prediction, TransE In this post I present Translating Embeddings (TransE), a method for the prediction of […]

Essence of Calculus

Essence of Calculus 2017-07-24 Mathematics calculus, geometry With Linear Algebra, Calculus is another part of Mathematics largely used in Machine Learning. It is used for instance in the gradient descent […]

WebGL

WebGL 2017-07-24 Computer Science, Mathematics linear algebra, visualisation, WebGL Using effective animations, Steven Wittens presents the foundation behind WebGL such as rasterisation, aliasing, pixel sampling and their relation to Linear […]

Essence of Linear Algebra

Essence of Linear Algebra 2017-07-21 Mathematics geometry, linear algebra In computer science as in many domains, the use of Linear Algebra is central. Whether you want to apply dimensionality reduction […]