#LogConference

Johannes Gasteigergasteigerjo@sigmoid.social
2023-01-05

You can sample nodes for scalable #GNN #training. But how do you do #scalable #inference?

In our latest paper (Oral #LogConference
) we introduce influence-based mini-batching (#IBMB) for both fast inference and training, achieving up to 130x and 17x speedups, respectively!

1/8 in 🧵

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst