Colab Notebooks covering deep learning tools for biomolecular structure prediction and design ...

To address this limitation, we propose Neighborhood Overlap-aware Graph Neural Networks (Neo-GNNs) that learn useful structural features from an adjacency matrix and estimate overlapped neighborhoods ...

Abstract: Graph Neural Networks (GNNs) have been proven to be useful for learning graph-based knowledge ... MC-GNN can apply multiple GNN backbones, which provides a solution for learning structural ...

However, there are still major difficulties in representing and processing text information with SNN-based models. Comprehensively exploring the neurodynamic diversity, we propose a spiking neural ...

The result? A fully self-training, neural network-based thrust vector control (TVC) system that promises smarter and more efficient stabilization in real time. The journey started with a basic 3D ...

By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning Network Want to learn ...

Neuron hologram - 3d rendered video of Neuron cell network on black background ... Bright field Microscopy Spinal cord detailed structure under the microscope. Multiple magnification. 400x. Cross ...

Head of the Process Engineering Development Department of the National Iranian South Oil Company (NISOC) announced... The full version of this content is available only to IranOilGas Network members.