Remember when any shiny new L2 could beg The Graph (FRT) for subsidized queries and waltz away flush with GRT? That buffet is ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art graph learning model. However, it can be notoriously challenging to inference GCNs over large graph datasets, limiting their ...

A collection of solved DSA problems from platforms like GeeksforGeeks, covering key data structures such as linked lists, trees, graphs, queues, stacks, hashing, and more. Great for practice and ...

This paper presents a new neural model, called graph neural network (GNN), capable of directly processing graphs. GNNs extends recursive neural networks and can be applied on most of the practically ...