Abstract: With the explosive growth of graph data in scale, noise, and structural complexity, existing graph neural networks (GNNs) are reaching a performance bottleneck when simultaneously modelling ...

Abstract: Graph Neural Networks (GNNs) have gained popularity as an efficient choice for learning on graph-structured data. However, most methods are node or graph-centered, often overlooking valuable ...

graph-enumeration is a library for the exhaustive generation of unique, undirected graphs with colored nodes. It generates all non-isomorphic connected graphs definable over a specific multiset of ...

The goal of this project is to build a lightweight computer vision system that can automatically assess rice grain quality and detect defects or impurities, while being efficient enough to run on edge ...