2019到目前为止的深度学习研究进展汇总

Best Deep Learning Research of 2019

SoFar

We’re just about finished with Q1 of 2019, and the research side of

deep learning technology is forging ahead at a very good clip. I

routinely monitor the efforts of AI researchers in order to get a heads-

up for where the technology is headed. This foresight allows me to

better optimize my time for making sure I know what I don’t know.

As a result, I try to consume at least one research paper a week in a

This research introduces PyTorchGeometric, a library for deep

learning on irregularly structured input data such as graphs, point

clouds and manifolds, built upon PyTorch. In addition to general

graph data structures and processing methods, it contains a variety of

recently published methods from the domains of relational learning

and 3D data processing. PyTorch Geometric achieves high data

throughput by leveraging sparse GPU acceleration, by providing

dedicated CUDA kernels and by introducing efficient mini-batch