Graph Neural Networks and GraphRAG: Navigating Open-World Complexity in Finance

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...
GitHub

An AI-powered data science team of agents to help you perform common data science tasks 10X faster

Beta - This Python library is under active development. There may be breaking changes that occur until release of 0.1.0. The AI Data Science Team of Copilots includes Agents that specialize data ...
Morningstar

Hyperscale Data Reports Weekly and Total $XRP Purchases

Based upon the $XRP closing price on August 24, 2025, of $3.0259, Sentinum's $XRP holdings of 31,420 tokens had a current market value of $95,073.78. The Company will ...
IEEE

Forgetting and Remembering Are Both You Need: Balanced Graph Structure Unlearning

Abstract: In light of the growing emphasis on the right to be forgotten of graph data, machine unlearning has been extended to unlearn the graph structures’ knowledge from graph neural networks (GNNs) ...
IEEE

CuckooGraph: A Scalable and Space-Time Efficient Data Structure for Large-Scale Dynamic Graphs

Abstract: Graphs play an increasingly important role in various big data applications. However, existing graph data structures cannot simultaneously address the performance bottlenecks caused by the ...