At the Paris AI Action Summit, Allen argued that DOGE represents the real-time implementation of an extreme ideological ...

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 ...

In e-learning, the increasing number of learning resources makes it difficult for learners to find suitable learning resources. In addition, learners may have different preferences and cognitive ...

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 ...

In several applications the information is naturally represented by graphs. Traditional approaches cope with graphical data structures using a preprocessing phase which transforms the graphs into a ...