Hello, today I’m going to review the Particle Tachyon SBC designed for high-performance edge AI, IoT, and connectivity ...

Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...

Abstract: Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. In practice ...

Abstract: Graph-level clustering is a fundamental and significant task in data mining. The advancement of graph neural networks has provided substantial impetus to this area of research. However, ...

This is a PyTorch implementation of the GraphATA algorithm, which tries to address the multi-source domain adaptation problem without accessing the labelled source graph. Unlike previous multi-source ...

After making one of the most shocking trades the NFL has seen in years, the Dallas Cowboys turn their attention to the 2025 regular season. The big question will be whether they can generate a pass ...