Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities. (ICLR 2024)
Fixes orientation feature batching for vector-equivariant methods.
Without this fix, for vector-equivariant methods that use such features, precisely batch.num_graphs - 2 nodes in each of their batched protein graphs would have their vector node input features normalized to a nonsense (invalid) vector.
orientation
feature batching for vector-equivariant methods.batch.num_graphs - 2
nodes in each of their batched protein graphs would have their vector node input features normalized to a nonsense (invalid) vector.