GitHub

DeepDrawing: A Deep Learning Approach to Graph Drawing

This is the code repository for our IEEE VIS19 Paper entitled "DeepDrawing: A Deep Learning Approach to Graph Drawing". We propose a deep learning based approach to learn from existing graph drawings ...
GitHub

DualNetGO: A Dual Network Model for Protein Function Prediction via Effective Feature Selection

Here we provide the codes, some of the processed data, and important results of the DualNetGO paper. DualNetGO is comprised of two components: a graph encoder for extracting graph information or ...
LinkedIn

ChatGPT and The Professional's Guide to Using AI

ChatGPT: the latest artificial intelligence release from OpenAI. If you're anything like me, this new technology has taken over your entire social media feed and social life. Every text conversation I ...
Nature

Discovering the structure and organization of a free Cantonese emotion-label word association graph to understand mental lexicons of emotions

Emotions are not necessarily universal across different languages and cultures. Mental lexicons of emotions depend strongly on contextual factors, such as language and culture. The Chinese language ...
Nature

Who does what to whom? graph representations of action-predication in speech relate to psychopathological dimensions of psychosis

Graphical representations of speech generate powerful computational measures related to psychosis. Previous studies have mostly relied on structural relations between words as the basis of graph ...