cuda out of memory

[Wjt0403]

I tried to train a model on my own dataset, but I came with the problem "cuda out of memory", is there any good way to solve that problem?

[Lee-zix]

The memory cost is influenced by many factors. The most important factor is the number of historical facts. If your dataset has so many facts at one timestamp and you use a long history. The "cuda out of memory" problem may appear. The simplest way to this problem is to decrease the length of history snapshots you modeling. And maybe adding a negative sampling strategy to RE-GCN is also a common solution.