Photo from Unsplash.com Parenting is one of the most meaningful relationships a person can experience, but it is also one of ...

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 ...

Qualcomm confirmed a $3.92 billion all-stock deal to buy AI software startup Modular, paired with a Meta Platforms CPU ...

Abstract: Graph-based deep learning models are becoming prevalent for data-driven traffic prediction in the past years, due to their competence in exploiting the non-euclidean spatial-temporal traffic ...

Abstract: In recent years, various deep learning architectures have been proposed to solve complex challenges (e.g. spatial dependency, temporal dependency) in traffic domain, which have achieved ...

has been cited by the following article: TITLE: Artificial Intelligence in Learning: An Integrative Framework for Education 4.0 ...

DeepDrug is a deep learning framework, using residual graph convolutional networks (RGCNs) and convolutional networks (CNNs) to learn the comprehensive structural and ...

Therefore, it has the potential to provide neurosurgeons with rapid and reliable decision support, especially in emergency conditions. The knowledge graph enhanced deep-learning model can exhibit ...

The objective of this research project is to develop general machine learning techniques for graph generation, with the end application of smart design including new material discovery, advanced ...