Fastest Gephi's ForceAtlas2 graph layout algorithm implemented for Python and NetworkX
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Updated
May 7, 2024 - Python
Fastest Gephi's ForceAtlas2 graph layout algorithm implemented for Python and NetworkX
An experimental GPU accelerated implementation of ForceAtlas2
R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
Gephi ForceAtlas2 with networkx compatibility and support for thread-based parallelism
Using tiled display systems for the interactive visualization of GPGPU computed data
INM-Explain is a tool for exploring medical controversies in cancer treatment, focusing on non-pharmacological interventions (INMs). It uses Twitter data, deep learning (RoBERTa), and t-SNE for sentiment analysis and topic modeling to visualize and identify controversial topics.
Some Network Analysis, Visualizations, artworks made using Gephi as part of the coursework 'Knowledge Engineering & Digital Humanities'
A port of Gephi's Force Atlas 2 layout algorithm to Julia(Graph).
IGFBPL1 Retinal Microglia Project | Dong Feng Chen Lab collaboration | Schepens Eye Research Institute, Mass General Hospital, Harvard Medical School
collab | DFC
Socs3/Spp1 Project on Microglia in OIR | Ye Sun Lab Collaboration Project | Boston Children's Hospital
Social Network Analysis for Computer Scientists - Final Project
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