(SC'21) Efficient Scaling of Dynamic Graph Neural Networks

[suzumura]

Our paper on scalable graph neural networks for dynamic graphs has been recently accepted by the top conference in the supercomputing/HPC area - named ‘ACM/IEEE Supercomputing 2021’. This is a joint work between the US and India team at IBM Research. The paper is available from the following link.
Efficient Scaling of Dynamic Graph Neural Networks
Venkatesan T. Chakaravarthy, Shivmaran S. Pandian, Saurabh Raje, Yogish Sabharwal, Toyotaro Suzumura, Shashanka Ubaru
Paper: https://lnkd.in/dzcPKtRX
Conference: SC'21 (https://sc21.supercomputing.org/)
It would be great if you could add this work to the Efficiency section. The code will be available soon.