This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

In the ‘State Fiscal and Economic Dashboard’, graphical representations of key economic variables will be available. The ‘Research and Commentary’ will have details of extensive research ...

To address these challenges, we propose the Linear Graph Network (LGNet), which theoretically compresses multi-layer GCNs into a single layer, enabling the embedding of new nodes during inference.

To overcome this, we introduce Graph Isomorphic Network (GIN), a new variant of graphical neural networks with enhanced representation capabilities. Therefore, this study develops a GIN-based ...

DDR5 memory is the current generation of system RAM, with greater bandwidth, increased capacity, and lower power demands than the previous DDR4. It helps to make the most of not only modern CPUs ...

Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021) : https://arxiv.org/abs/2102.11533. In ...

This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not ...

This Repository holds code for extracting the top features (via SAEs) corresponding to hallucinations on the LAMBADA dataset -- a dataset containing cloze-style/'fill ...