Abstract: Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity and can only handle graphs with at most thousands of nodes. To this ...
Abstract: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...
The largest watch brand in the world by turnover, Rolex needs no introduction. A global luxury juggernaut, its coronet logo ...
Turn your GitHub contribution graph into a playful bubble‑shooter animated SVG you can embed in your README. Generate once or keep it up to date automatically with GitHub Actions. Download or copy ...