Remy Lau – Medium

Remy Lau

Published in
Towards Data Science

Cross-Entropy, Negative Log-Likelihood, and All That Jazz

Two closely related mathematical formulations widely used in data science, and notes on their implementations in PyTorch

Mar 8, 2022

Cross-Entropy, Negative Log-Likelihood, and All That Jazz

Mar 8, 2022

Published in
Towards Data Science

A unified view of Graph Neural Networks

Graph attention, graph convolution, network propagation are all special cases of message passing in graph neural networks.

Jun 27, 2021

A unified view of Graph Neural Networks

Jun 27, 2021

Published in
Towards Data Science

Network Learning — from Network Propagation to Graph Convolution

Two different views of network propagation, a popular method in computational biology, and its connection with graph convolution

Jun 20, 2021

Network Learning — from Network Propagation to Graph Convolution

Jun 20, 2021

Published in
Towards Data Science

Explainable Graph Neural Networks

A step forward in explainable AI, and why it is hard to adapt existing explanation methods to GNNs

Jun 13, 2021

Explainable Graph Neural Networks

Jun 13, 2021

Published in
Towards Data Science

Node2vec explained graphically

Jun 7, 2021

Node2vec explained graphically

Jun 7, 2021

Published in
Towards Data Science

Run node2vec ultrafast with less memory using PecanPy

May 31, 2021

Run node2vec ultrafast with less memory using PecanPy

May 31, 2021

Published in
The Citadel

Towards an Unbiased Development of New Bioinformatics Methods

Advancements in artificial intelligence and machine learning have led to many new methods in the areas of bioinformatics and computational…

May 12, 2021

Towards an Unbiased Development of New Bioinformatics Methods

May 12, 2021

Remy Lau

Remy Lau

Computational Mathematics | Bioinformatics | Network Science | Deep Learning | linkedin.com/in/remy-liu-a24780213/

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