Self Generating Causal AI

The FCA's 2024 arrears management review said something that should have made every mortgage servicer uncomfortable: firms ...
EurekAlert!

HSE researchers train neural network to predict protein–protein interactions more accurately

Scientists at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a model capable of ...
IEEE

Spectral Core Entropy Based Graph Data Generation Algorithm

Abstract: Molecule graph generation plays a crucial role in the field of drug discovery, as it can significantly expedite the identification and development of potential drug candidates. Although many ...
C&EN

Integrating ESM-2 and Graph Neural Networks with AlphaFold-2 Structures for Enhanced Protein Function Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
GitHub

Data Structures and Algorithms Repository

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...
IEEE

Data-Driven Evolutionary Algorithm Based on Inductive Graph Neural Networks for Multimodal Multi-Objective Optimization

Abstract: In multimodal multi-objective optimization problems (MMOPs), multiple solutions on different Pareto optimal solution sets (PSs) are mapped to the same point on the Pareto front. Considering ...
Scientific Research Publishing

A Maritime Document Knowledge Graph Construction Method Based on Conceptual Proximity Relations ()

1 COSCO Shipping Technology Co., Ltd., Shanghai, China. 2 COSCO Shipping Specialized Carriers Co., Ltd., Guangzhou, China. The cost and strict input format requirements of GraphRAG make it less ...
Frontiers

Semantic composition of robotic solver algorithms on graph structures

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...
InfoQ

Modeling Complex Data Structure in Golang Using Pointers, References, and Reverse Indices

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...
marktechpost

Graph Structure Learning Framework (GSLI): Advancing Spatial-Temporal Data Imputation through Multi-Scale Graph Learning

Spatial-temporal data handling involves the analysis of information gathered over time and space, often through sensors. Such data is crucial in pattern discovery and prediction. However, missing ...