GitHub

Graph Neural Differential Equations

This repository contains code for Graph Neural ODE++. This work was completed as part of CPSC 483: Deep Learning on Graph-Structured Data. We propose Graph Neural ODE++, an improved paradigm for Graph ...
IEEE

Learning Graph Dynamics With Interaction Effects Propagation for Deformable Linear Objects Shape Control

Abstract: Robotic manipulation of deformable linear objects (DLOs) has broad application prospects, e.g., manufacturing and medical surgery. To achieve such tasks, a critical challenge is the precise ...
IEEE

Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation

Abstract: Breast cancer patients could benefit greatly from an automatic diagnosis of metastases in lymph nodes. In clinical settings, where whole-slide images of histological lymph nodes are involved ...
GitHub

A collection of tutorials for using Cypher and Neo4j for creating, querying, analyzing, and doing process mining with event knowledge graphs.

All tutorials require a clean instance of the Neo4j graph database system running for this tutorial. a small example dataset that on which you can learn all the design ideas and modeling power of ...
www.cs.cmu.edu

Monte Carlo Geometry Processing:

@article{Sawhney:2020:MCG, author = {Sawhney, Rohan and Crane, Keenan}, title = {Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on ...
C&EN

A Hierarchy of Homodesmotic Reactions for Thermochemistry

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