7 citations · 20 across the 9 of their papers we have counts for
3 papers · 1 filter
Explaining the Power of Topological Data Analysis in Graph Machine Learning
Funmilola Mary Taiwo, Umar Islambekov, Cuneyt Gurcan Akcora
Topological Data Analysis (TDA) has been praised by researchers for its ability to capture intricate shapes and structures within data. TDA is considered robust in handling noisy a…
A fast topological approach for predicting anomalies in time-varying graphs
Umar Islambekov, Hasani Pathirana, Omid Khormali +2
Large time-varying graphs are increasingly common in financial, social and biological settings. Feature extraction that efficiently encodes the complex structure of sparse, multi-l…
ChainNet: Learning on Blockchain Graphs with Topological Features
Nazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel +4
With emergence of blockchain technologies and the associated cryptocurrencies, such as Bitcoin, understanding network dynamics behind Blockchain graphs has become a rapidly evolvin…