GitHub21 天
graph-neural-networks
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design ...
IEEE4 天
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=5165369 ...
When AI gets on your nerves: Physiologists use neural networks to analyze function of ion ...
Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...
C&EN12 天
Attention-Based Interpretable Multiscale Graph Neural Network for MOFs
The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, ...
GitHub24 天
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
Abstract: Graph Neural Networks (GNNs) have been widely applied to various fields for learning over graph-structured data. They have shown significant improvements over traditional heuristic methods ...
What is PyTorch?
Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.
C&EN19 天
Directed Electrostatics Strategy Integrated as a Graph Neural Network Approach for ...
Advanced Artificial Intelligence Theoretical and Computational Chemistry Laboratory, School of Chemistry, University of Hyderabad, Hyderabad, Telangana 500046, India ...
TechRadar5 天
What is a Neural Network?
As the name suggests, neural networks are inspired by the brain. A neural network is designed to mimic how our brains work to recognize complex patterns and improve over time. Neural networks ...