t-SNE remains one of the most popular embedding techniques for visualizi...
Training Graph Neural Networks, on graphs containing billions of vertice...
Convolutional neural networks (CNNs) have found many applications in tas...
Full-batch training on Graph Neural Networks (GNN) to learn the structur...
During the past decade, novel Deep Learning (DL) algorithms/workloads an...
The Deep Graph Library (DGL) was designed as a tool to enable structure
...
Recent advancements in learned index structures propose replacing existi...
Next-generation sequencing (NGS) technologies have enabled affordable
se...
Innovations in Next-Generation Sequencing are enabling generation of DNA...