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Improve distance cutoff in DimeNet #4562

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merged 4 commits into from Apr 29, 2022
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danielzuegner
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Currently (as per my recent PR) the clamping of (dist / cutoff).clamp_max(1.0) is done outside the envelope. However, this means that we need to repeat this for each place using the envelope (e.g., the SphericalBasisLayer). The clean way to do it is to have the masking inside the envelope; this is also how it's implemented in DimeNet.

danielzuegner and others added 3 commits April 29, 2022 10:38
This is cleaner than (dist / cutoff).clamp_max(1.0) because it's the envelope that should become zero and then effectively mask distances larger than the cutoff. This is also how it's implemented in [`DimeNet`](https://github.com/gasteigerjo/dimenet/blob/09123a0e16e728d0a0e53e6686b04f859802aa81/dimenet/model/layers/envelope.py#L23).
torch_geometric/nn/models/dimenet.py Outdated Show resolved Hide resolved
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codecov bot commented Apr 29, 2022

Codecov Report

Merging #4562 (133e195) into master (e220a2c) will decrease coverage by 0.11%.
The diff coverage is 0.00%.

@@            Coverage Diff             @@
##           master    #4562      +/-   ##
==========================================
- Coverage   82.83%   82.71%   -0.12%     
==========================================
  Files         313      313              
  Lines       16363    16361       -2     
==========================================
- Hits        13554    13533      -21     
- Misses       2809     2828      +19     
Impacted Files Coverage Δ
torch_geometric/nn/models/dimenet.py 17.66% <0.00%> (ø)
torch_geometric/nn/conv/utils/typing.py 81.25% <0.00%> (-17.50%) ⬇️
torch_geometric/io/tu.py 93.58% <0.00%> (-2.57%) ⬇️
torch_geometric/nn/models/mlp.py 98.41% <0.00%> (-1.59%) ⬇️
torch_geometric/transforms/gdc.py 78.17% <0.00%> (-1.02%) ⬇️
torch_geometric/data/dataset.py 96.80% <0.00%> (-0.80%) ⬇️
torch_geometric/nn/conv/rgat_conv.py 83.76% <0.00%> (-0.53%) ⬇️
torch_geometric/graphgym/utils/comp_budget.py 15.51% <0.00%> (+0.51%) ⬆️

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@rusty1s rusty1s merged commit 85fc32e into pyg-team:master Apr 29, 2022
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rusty1s commented Apr 29, 2022

Thanks!

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2 participants