AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Automatic Code Generation for High-Performance Graph Algorithms

Abstract: Graph problems are common across many fields, from scientific computing to social sciences. Despite their importance and the attention received, implementing graph algorithms effectively on ...

Social media’s next evolution: user-controlled algorithms

Social media feeds are becoming more customizable as platforms like Threads, Instagram, and TikTok introduce tools that let ...
IEEE

Fast FPGA Accelerator of Graph Cut Algorithm With Threshold Global Relabel and Inertial Push

Abstract: Graph cut algorithms are popular in optimization tasks related to min-cut and max-flow problems. However, modern FPGA graph cut algorithm accelerators still need performance and memory ...
LinkedIn

Beyond the Tutorial: Mastering Git with Agentic Workflow Graphs

When I type a simple "Hi", you can see the graph on the left light up. It passes through a deterministic Command Parser and routes straight to a CONCEPTUAL_FLOW. Instead of a generic "How can I help ...
GitHub

DGAP: Efficient Dynamic Graph Analysis on Persistent Memory

This repo includes the source code of DGAP along with other state-of-the-art dynamic graph processing systems (LLAMA [2], GraphOne [3], and XP-Graph [4]) and data structures (CSR, and BAL), which are ...