APG Asset Management, with offices in Netherlands, New York and Hong Kong, is seeking a Quant Developer to join the Global PE team in Amsterdam. As a Quant Developer, you work as an expert with data, ...
Apple is reportedly planning a standalone Siri app for iOS 27, with chatbot features, app actions, and possible third-party ...
Google has launched TorchTPU, an engineering stack enabling PyTorch workloads to run natively on TPU infrastructure for ...
This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...
As the way software is built fundamentally changes, Cloudflare introduces the infrastructure to power millions of autonomous, long-running agents Cloudflare, Inc. (NYSE: NET), the leading connectivity ...
In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We design a structured multi-agent architecture comprising a planner agent, an executor agent, and an ...
Explore core physics concepts and graphing techniques in Python Physics Lesson 3! In this tutorial, we show you how to use Python to visualize physical phenomena, analyze data, and better understand ...
Abstract: Graph neural networks (GNNs) have demonstrated significant success in solving real-world problems using both static and dynamic graph data. While static graphs remain constant, dynamic ...
DART addresses two critical limitations in existing stock market prediction systems. First, most graph-based approaches rely on static knowledge graphs that fail to capture the dynamic nature of ...
Dynamic Graph Neural Networks (Dynamic GNNs) have emerged as powerful tools for modeling real-world networks with evolving topologies and node attributes over time. A survey by Professors Zhewei Wei, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results