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AUGMENTING MOLECULAR DEEP GENERATIVE MODELS WITH TOPOLOGICAL DATA ANALYSIS RE...
Deep generative models have emerged as a powerful tool for learning useful molecular representations and designing novel molecules with desired properties, with applications in... -
Synthetic diffusion data
The dataset used in this paper is a synthetic diffusion data, which is a β-stable process with varying number of points and tail indices. -
Differentiable Euler Characteristic Transforms for Shape Classification
The Euler Characteristic Transform (ECT) is a powerful invariant, combining geometrical and topological characteristics of shapes and graphs. -
Topological Shape Analysis for Medical Images
The dataset used in this paper is a collection of lung cancer pathology images and brain tumor MRI images. -
SARS-CoV-2 spike protein-ACE2 complex structures
The dataset used in this paper for studying the protein structures of the SARS-CoV-2 spike protein and its binding to human angiotensin-converting enzyme 2 (ACE2). -
SARS-CoV-2 RBD-ACE2 complex structures
The dataset used in this paper for studying the protein structures of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike receptor binding domain (RBD) and... -
reddit-5k and reddit-12k datasets
The dataset used in the paper is the reddit-5k and reddit-12k datasets, which consist of social network graphs with 5 and 11 classes, respectively. -
Animal dataset and MPEG-7 dataset
The dataset used in the paper is the Animal dataset, which consists of 20 different animal classes, 100 samples each, and the MPEG-7 dataset, which consists of 70 classes of...
