The Financial Express

Is this India’s next mega-cap stock? We decode the bullish breakout

What if I told you that a company once known just for delivering your late-night meals is now racing towards becoming one of ...

Trump’s economic promises to Black voters fall short after a modest shift in support for him in 2024

Donald Trump warned during the campaign that Black Americans were losing jobs in large numbers and things would only worsen ...

CrowdStrike’s Enterprise Graph aims to redefine AI-era security

CrowdStrike's Mike Sentonas discusses the company's new Enterprise Graph product and approach to agentic AI attacks with ...

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, ...

Inside Microsoft’s Plans for the ‘Most Advanced AI Data Center in the World’

Microsoft said it is in the final stages of construction on the $3.3 billion project in Wisconsin it is calling the most advanced AI data center in the world.
CPO Magazine

Hackers Steal OAuth Tokens via Salesloft Drift Integrations in Massive Salesforce Data Theft

Google Threat Intelligence Group (GTIG) warns that attackers are stealing OAuth tokens via Salesloft Drift integrations in a massive Salesforce data theft. Alphabet’s GTIG and Mandiant attributed the ...
GitHub

scGrapHiC: Deep learning-based graph deconvolution for Hi-C using single cell gene expression

Single-cell Hi-C (scHi-C) protocol helps identify cell-type-specific chromatin interactions and sheds light on cell differentiation and disease progression. Despite providing crucial insights, scHi-C ...
IEEE

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness

Abstract: Graph Neural Networks (GNNs) are used for graph data processing across various domains. Centralized training of GNNs often faces challenges due to privacy and regulatory issues, making ...
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) ...