Graph Modeling for Blockchain Forensics: Better "Tokenomics"

Distributed Ledger Technologies (DLT), in general, and the blockchain specifically, offer a variety of interesting opportunities, from inclusive financing for underserved communities to being the platform for a scalable Web 3.0. Securing the blockchain involves understanding a special class of non-reciprocal, sequenced, temporal networks that break many of the assumptions on traditional network algorithms. We will start with a few fantastic algorithms (and how to find them!) and conclude with the hard and (yet) unsolved challenges and how TigerGraph addresses them – from graph algorithms to Graph Neural Networks.


  • Krishna Sankar, Distinguished Engineer - AI at US Bank