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: Tokenized graph Transformers have advanced node classification by transforming graphs into token sequences, but existing methods suffer from limited flexibility due to single-type token ...

Optimized Array Input: Enhanced UI Component for handling array data structures. Visual Selectors: Connection lines for Entity and Asset references to visualize data flow. Bi-directional Sync: ...

EqualZ is a simplified clone of EqualX, but written in Python and standalone, i.e. without depending on external tools. In other words, you don't have to install a full LaTeX stack and bloat your disk ...