Ricci Curvature and Field Prize prediction for 2026

Hey guys,

Here comes my new blogpost. 

1. Thank you - Thanks a lot for messages on A. my field prize prediction, B. My Ricci Flow video & C. My talk abstract which was selected for a satellite conference. 

I am building a new algorithm to predict Field Prize which is going to happen in 2026 using Graph Neural Networks, HodgeNet and Ricci Curvature. 

My Original Algorithm was - 

1. Data cleaning 

2. Defining the breakthrough of every winner  

3. Developing co-author network data 

4. look-a-like profiling based on topics, citations, embeddings, and lot of other things  

5. Developing topic models through natural language processing, the topology of networks, superimposing topology of networks with topics & changing the definition of a breakthrough with respect to the papers of the winners 

6. Deep Divergence Learning & Ricci Flow for community detection for clustering right topics with unsupervised learning 

7. Reinforcement learning & ensemble modeling 

And A Secret recipe of this predictive analytics project which came through the concept of the topology of social networks & KBGAN: Adversarial Learning for Knowledge Graph Embeddings - https://arxiv.org/abs/1711.04071 

8. Ant Colony Optimization to understand amongst research coauthors have shortest path with innovation breakthrough yield & to win field.. 

I am going to use lot of HodgeNet to analyze co-author network edges along with this original algorithm. 

More coming soon on this topic..