This repository is the implementation of the following paper: Theoretical Insights into Line Graph Transformation on Graph Learning. This project is built on the BREC dataset which includes 400 pairs ...

Abstract: Approximate nearest neighbor search (ANNS) is a key retrieval technique for vector database and many data center applications, such as person re-identification and recommendation systems. It ...

"Year to date" sales for 2022, 2023, 2024, and 2025 sales are shown in series at the top of the table and then just below a comparison of 2025 versus 2024 and 2025 versus 2023 is displayed. This ...

Since it was unveiled in 2020, Google DeepMind’s game-changing AI tool has helped researchers all over the world to predict the 3D structures of hundreds of millions of proteins. For nearly a decade, ...

Abstract: Time series forecasting is a fundamental and crucial problem in both academic research and industrial production. Various approaches have been developed to address this issue from different ...

While Black Friday itself may still be a couple days away, plenty of retailers have already kicked off massive sales. That includes streaming services, which are always at their lowest price of the ...