Mainland shares drift after the People's Bank of China signals it is prioritising stability and 'cross-cyclical' adjustments over aggressive easing Mainland Chinese stocks fell on Thursday, as hopes ...

Abstract: Edge prediction (EP) is a long-standing and fundamental task in graph-structured data analysis, and has served as a key driver in the advancement of graph learning. Traditional EP methods ...

Abstract: Graph-structured data applications promote the development of Graph Neural Networks (GNN) in recent years. Due to privacy concerns, collecting graph data stored in massive client devices for ...

Ranking all 32 teams in the NFL from best to worst for every week in the 2025 regular season has been a wild ride. With such a top-heavy league, the hierarchy can see a big change based on a few ...

This repository contains the appendix, code, and data for the paper "Edge Probability Graph Models Beyond Edge Independency" published in the IEEE International Conference on Data Mining (ICDM) 2025.

The Scenario Runner is an application that executes shader and neural network graph workloads through Vulkan® or the ML extensions for Vulkan®. The Scenario Runner acts as a validation and performance ...