Restore correct order in the output of HeteroLinear in case of is_sorted=False

[toenshoff]

If "is_sorted=False", the output of the forward pass will be unsorted to the original vertex order of the input.

[codecov]

Codecov Report

Merging #6198 (139aad6) into master (f82d6a2) will increase coverage by 0.06%.
The diff coverage is 40.00%.

@@            Coverage Diff             @@
##           master    #6198      +/-   ##
==========================================
+ Coverage   84.49%   84.55%   +0.06%     
==========================================
  Files         371      371              
  Lines       20741    20845     +104     
==========================================
+ Hits        17525    17626     +101     
- Misses       3216     3219       +3     

Impacted Files	Coverage Δ
torch_geometric/nn/dense/linear.py	85.40% <40.00%> (-1.72%)	⬇️
torch_geometric/explain/algorithm/gnn_explainer.py	95.18% <0.00%> (-1.12%)	⬇️
...rch_geometric/explain/algorithm/dummy_explainer.py	93.75% <0.00%> (-0.37%)	⬇️
torch_geometric/explain/explainer.py	100.00% <0.00%> (ø)
torch_geometric/explain/explanation.py	100.00% <0.00%> (ø)
torch_geometric/nn/conv/gcn2_conv.py	92.64% <0.00%> (+0.10%)	⬆️
torch_geometric/explain/algorithm/base.py	96.72% <0.00%> (+0.11%)	⬆️
torch_geometric/nn/conv/appnp.py	78.68% <0.00%> (+0.35%)	⬆️
torch_geometric/data/hetero_data.py	95.65% <0.00%> (+0.68%)	⬆️

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[rusty1s]

Wow, this is a great catch. Thank you! What a bad mistake on our end :(