The Helfrich theory of membrane bending, supported by molecular dynamics simulations, is a promising approach for evaluating ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

New foundational AI models are accelerating advancements in biomedical research, according to a speaker at Cleveland Clinic’s ...

Bet365 had a breakthrough by combining metadata tagging and GraphRAG to give gen AI the all-important context it needed.

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

1. Introduction The goal of mathematically modeling a situation is to make it easier to manage and thus analyze. The modeling of automated systems with Petri nets begins and is based on a bipartite ...

To overcome these limitations, researchers developed Graph Attention-aware Fusion Networks (GRAF), a framework designed to transform multiplex heterogeneous networks into unified, interpretable ...

Revolutionize graph machine learning with large language models (LLMs)! Uncover groundbreaking strategies integrating the might of LLMs like ChatGPT with graph neural networks (GNNs) for unmatched ...

Graph-structured data plays a foundational role in knowledge representation across various intelligent systems. Self-supervised graph representation learning (SSGRL) has emerged as a key methodology ...