In 1971, German mathematicians Schönhage and Strassen predicted a faster algorithm for multiplying large numbers, but it ...

This paper uses a topic from multivariate analysis, i.e., canonical correlation theory, in the development of a generalized correlation coefficient for simultaneous equation systems. Canonical ...

Explore how Neo4j’s InfiniGraph unifies analytical and transactional data, removing ETL bottlenecks to power next-gen GenAI ...

We demonstrate that despite variables that are integrated, the fundamental issues on structural equation modeling raised by the Cowles Commission remain valid and standard estimation and testing ...

Abstract: Undirected graphs are frequently used to model phenomena that deal with interacting objects, such as social networks, brain activity and communication ...

Abstract: Forest plot mapping is a significant task in forest inventories by providing accurate structural parameters. However, understory mapping still predominantly relies on terrestrial laser ...

Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) represents the successful combination of retentate chromatography and mass spectrometry, and this ...

This repository contains code for Graph Neural ODE++. This work was completed as part of CPSC 483: Deep Learning on Graph-Structured Data. We propose Graph Neural ODE++, an improved paradigm for Graph ...

Economics is more than just knowing how to handle money. It’s a social science analyzing the production, distribution, and consumption of goods and services in order to explain how economies work.

This repo is the official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network" by Longxiang Jiang, Liyuan Wang, Xinkun Chu, Yonghao Xiao, and Hao Zhang ...

The Statistical Science research programme at UCL aims to develop research students who can eventually make original contributions to the subject. Students are initially registered for the MPhil ...

This is a basic course in advanced econometrics. Econometrics deals with evaluating economic theories and models, and investigating their validity by confronting them with data, using statistical ...