Betti Numbers, Ricci Flow, Neural Network capacity, Graph Mining $ 1 million competition

Hi guys,

I have been often speaking about Ricci Flow, Betti Numbers, Algebraic topology for a while in neural networks to optimize information flow (pruning). 2 amazing papers which have been published and one company which ran a graph mining challenge - 

1. Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry - https://arxiv.org/abs/2109.01461

2. RicciNets: Curvature-guided Pruning of High-performance Neural Networks Using Ricci Flow - https://arxiv.org/abs/2007.04216

A company which got inspired by my field prize prediction project which I performed 2 years before Field Prize ( https://researchcircle.blogspot.com/2021/12/graph-mining-network-science-topology.html - how I used definition of breakthrough, ant colony optimization, Graph Mining, NLP, Network Science, profiling, feature extraction, reinforcement learning + Information Topology to predict Field Prize - A Curious Case & motivational piece for upcoming Data Scientists) & The prediction came true for James Maynard, Hugo Duminil, Maryna Viazoska -

TigerGraphDB - 

 

And there are 15 winners - https://www.tigergraph.com/graph-for-all/