Stephen Bonner
Stephen Bonner
It would be great to be able to pass a dropout value to all models, thus enabling dropout, via the pipeline api, rather than having to create a new `ERModel`...
### Description of the Change Since PyTorch has added support for Apple Silicon machines (via the use of Metal Performance Shaders https://pytorch.org/blog/introducing-accelerated-pytorch-training-on-mac/), I thought it would be interesting to add...
Hi, I am trying to understand how to control the setting of the random seed using the `hpo_pipeline` object and what exactly it is controlling. As it stands, I have...
Hi All, I was wondering is there anyway to resume an ablation study if it gets interrupted for any reason? It seems a shame to have to repeat all the...
@Hi, I am trying to run the example from the readme as follows: `DGLBACKEND=pytorch dglke_train --model_name TransE_l2 --dataset FB15k --batch_size 1000 \ --neg_sample_size 200 --hidden_dim 400 --gamma 19.9 --lr 0.25...
### Link to the relevant Bug(s) Closes #1118 ### Description of the Change There is now a check for `negative_sampler_kwargs` which sets them even if there is no `negative_sampler` value....
### Describe the bug It seems that any `negative_sampler_kwargs` are ignored unless a sampler is explicitly set in the pipeline. For example, setting a value for the number of negative...
Adding a few tips I needed to get this to run on an Intel based MacOS install. I haven't tested on my M1 machine yet but will update further if...
Sharing some initial work I had done around adding support for reweighting the loss to account for relation frequency. The current code is very much work in progress but I...
I have been using from_networkx on a relatively large graph (45K vertecies and 2M edges) without runtime issues - the conversion happens within a minute or so. However, as soon...