Abstract: Spatiotemporal prediction over graphs (STPG) is crucial for transportation systems. In existing STPG models, an adjacency matrix is an important component that captures the relations among ...
Abstract: In hyperspectral image (HSI) classification, convolutional neural networks (CNNs) excel at local feature modeling but are limited to Euclidean space. Transformers offer long-range dependence ...
🌟 [2025/01] More examples have been updated, come and give them a try! 🚀🚀🚀 ⭐ [2025/01] LightGNN's code has been released. ⭐ [2024/10] LightGNN has been accepted by WSDM 2025 conference. Graph ...
A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate ...
The Round 2 registration process began on September 4, 2025, and the choice filling and locking window will remain open until September 9, 2025. The Medical Counselling Committee (MCC) has officially ...
Global growth is projected to decline after a period of steady but underwhelming performance, amid policy shifts and new uncertainties. Global headline inflation is expected to decline further, ...
To replicate and deeply understand the work presented in the original paper: HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming. As part of the project, we trained ...
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