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Chainer graph #398
Chainer graph #398
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still use PaddingGraphDataset for network padding pattern
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device=-1, | ||
converter=None, | ||
use_default_extensions=True, | ||
resume_path=None): |
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MEMO. TODO (nakago) later: check again. can't we merge to run_train?
updated comment |
1 similar comment
updated comment |
Thank you! LGTM. I will check to run example later! |
Codecov Report
@@ Coverage Diff @@
## master #398 +/- ##
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- Coverage 91.22% 84.41% -6.82%
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Files 229 234 +5
Lines 11049 11449 +400
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- Hits 10080 9665 -415
- Misses 969 1784 +815 |
@knshnb |
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LGTM!! I checked cora
, citeseer
, and reddit
learning works (I did not check whether the accuracy is comparable to paper yet though...).
todo later.
Memo: I'd like to modify dataset methods to handle dirpath using os.path.join
so that it works with/without /
at last.
|
||
On the GPU: | ||
```angular2html | ||
PYTHONPATH=. python examples/network_graph/train_network_graph.py --dataset cora |
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I will add --device 0
later.
On the GPU: | ||
```angular2html | ||
PYTHONPATH=. python examples/network_graph/train_network_graph.py --dataset cora | ||
``` |
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todo later: I'd like to modify running this script from examples/network_graph
instead of top directory.
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todo later: I'd like to add --coo
option explanation, which is necessary to run reddit dataset.
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todo later: it seems gin_sparse
and coo=true
combination is not supported.
reddit dataset only works with --method gin and --coo true.
New features
Dataset class
NumpyTupleDataset
PaddingGraphDataset
SparseGraphDataset
SparseGraphDataset
PaddingGraphDataset (use_coo=True)