IEEE

Deep Learning for Dynamic Graphs: Models and Benchmarks

Abstract: Recent progress in research on deep graph networks (DGNs) has led to a maturation of the domain of learning on graphs. Despite the growth of this research field, there are still important ...

Mapping 3D-super-enhancers with machine learning to pinpoint regulators of cell identity

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...
IEEE

Interaction-Based Inductive Bias in Graph Neural Networks: Enhancing Protein-Ligand Binding Affinity Predictions From 3D Structures

Abstract: Inductive bias in machine learning (ML) is the set of assumptions describing how a model makes predictions. Different ML-based methods for protein-ligand binding affinity (PLA) prediction ...
洗護用品和肥皂

Scope of proposed binding treaty discussed on 4th day of UN Intergovt. meeting

"Discussions on scope of the treaty on day four of the intergovernmental working group session in Geneva", 28 Oct 2016 Two meetings were held on the fourth and penultimate day of this second session ...