IEEE

Heterogeneous Spatiotemporal Graph Convolution Network for Multi-Modal Wind-PV Power Collaborative Prediction

Abstract: Accurate and generalized collaborative prediction of multi-cluster renewable energy power generation is both an inevitable trend and urgent demand as the growth of multi-region ...
IEEE

AGConv: Adaptive Graph Convolution on 3D Point Clouds

Abstract: Convolution on 3D point clouds is widely researched yet far from perfect in geometric deep learning. The traditional wisdom of convolution characterises feature correspondences ...
GitHub

convolution_neural_network.py

All Algorithms implemented in Python. Contribute to mosabutey/python development by creating an account on GitHub.
InfoWorld

3 Python web frameworks for beautiful front ends

Have you ever wished you could generate interactive websites with HTML, CSS, and JavaScript while programming in nothing but Python? Here are three frameworks that do the trick. Python has long had a ...
GitHub

convolution_neural_network.py

All Algorithms implemented in Python. Contribute to NaClNeZn/Algorithms-Python development by creating an account on GitHub.
C&EN

PACMAN: A Robust Partial Atomic Charge Predicter for Nanoporous Materials Based on Crystal Graph Convolution Networks

We report a fast and easy method (PACMAN) to assign partial atomic charges on metal–organic framework (MOF) and covalent–organic framework (COF) crystal structures based on graph convolution networks ...