research
∙
08/29/2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
As powerful tools for representation learning on graphs, graph neural ne...
share
research
∙
05/26/2023
Pulse shape discrimination based on the Tempotron: a powerful classifier on GPU
This study introduces the Tempotron, a powerful classifier based on a th...
research
∙
07/26/2022
Learning Protein Representations via Complete 3D Graph Networks
We consider representation learning for proteins with 3D structures. We ...
research
∙
06/17/2022
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
Many real-world data can be modeled as 3D graphs, but learning represent...
research
∙
10/21/2021
A CutFEM divergence–free discretization for the Stokes problem
We construct and analyze a CutFEM discretization for the Stokes problem ...
research
∙
10/06/2021
Exploring the Common Principal Subspace of Deep Features in Neural Networks
We find that different Deep Neural Networks (DNNs) trained with the same...
research
∙
09/24/2021
SEED: Semantic Graph based Deep detection for type-4 clone
Background: Type-4 clones refer to a pair of code snippets with similar ...
research
∙
05/21/2021
A divergence-free finite element method for the Stokes problem with boundary correction
This paper constructs and analyzes a boundary correction finite element ...
research
∙
10/11/2018