Remy LauinTowards Data ScienceCross-Entropy, Negative Log-Likelihood, and All That JazzTwo closely related mathematical formulations widely used in data science, and notes on their implementations in PyTorch9 min read·Mar 8, 2022--2--2

Remy LauinTowards Data ScienceA unified view of Graph Neural NetworksGraph attention, graph convolution, network propagation are all special cases of message passing in graph neural networks.4 min read·Jun 27, 2021----

Remy LauinTowards Data ScienceNetwork Learning — from Network Propagation to Graph ConvolutionTwo different views of network propagation, a popular method in computational biology, and its connection with graph convolution8 min read·Jun 20, 2021----

Remy LauinTowards Data ScienceExplainable Graph Neural NetworksA step forward in explainable AI, and why it is hard to adapt existing explanation methods to GNNs4 min read·Jun 13, 2021--1--1

Remy LauinTowards Data ScienceRun node2vec ultrafast with less memory using PecanPy6 min read·May 31, 2021--3--3

Remy LauinThe CitadelTowards an Unbiased Development of New Bioinformatics MethodsAdvancements in artificial intelligence and machine learning have led to many new methods in the areas of bioinformatics and computational…3 min read·May 12, 2021----