GitLab

* add CuGraphGATConv model

* lintrunner

* update model to reflect changes in make_mfg_csr(), move max_in_degree to forward()

* simplify pytest markers

* fall back to FG option for large fanout

* update error msg

* add feat_drop and activation options

* add residual option

* Update python/dgl/nn/pytorch/conv/cugraph_gatconv.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Update python/dgl/nn/pytorch/conv/cugraph_gatconv.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* reset res_fc

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Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Update

* lint

* lint

* r prefix

* CI

* lint

* skip TF

* Update

* edge homophily

* linkx homophily

* format

* skip TF

* fix test

* update

* lint

* lint

* review

* lint

* update

* lint

* update

* CI

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

* add CLUSTER dataset

* refine according to dongyu's comments

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Co-authored-by: rudongyu <ru_dongyu@outlook.com>

* [Sparse] Support converson to/from torch sparse tensor.

* Update

* Update

* lint

* lint

* r prefix

* CI

* lint

* skip TF

* Update

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

* [Sparse] Support column-wise softmax

* Update python/dgl/sparse/softmax.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

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Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* subgraphx commit

* nits

* newline eof added

* lint fix

* test script updated to use default values

* lint fix

* graphs that are used for test cases are updated to a small graph

* lint formatted

* test paramter adj to complete the test under 20s

* lint fixes

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Co-authored-by: kxm180046 <kxm180046@utdallas.edu>

* add CuGraphSAGEConv model

* fix lint issues

* update model to reflect changes in make_mfg_csr(), move max_in_degree to forward()

* lintrunner

* allow reset_parameters()

* remove norm option, simplify test

* allow full graph fallback option, add example

* address comments

* address reviews

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Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* bump version

* Update update_version.py

* autofix

* sort

* sort

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

[Misc] Auto format with manual fix of 3 files and add pylint: disable= too-many-lines for functional.py. (#5330)

* blabal

* 2more

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

* data

* lintrunner

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

* update cugraph_relgraphconv

* update equality test

* update cugraph rgcn example

* update RelGraphConvAgg based on latest API changes

* enable fallback option to fg when fanout is large

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Co-authored-by: Mufei Li <mufeili1996@gmail.com>

Co-authored-by: Mufei Li <mufeili1996@gmail.com>

Some weird formatting occurred in the documentation for EGATConv, so this quick commit should fix that.
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* enable sparse on windows and mac

* that was stupid

* let's see what's going on..

* [Sparse] Fix the import error on Mac OS.

When using template functions that are defined in source files from DGL,
the loader of MacOS somehow cannot find their definitions. This fix simply
avoids depending on template functions from DGL headers.

With this fix, the sparse tests all pass on the MAC environment.

* ok this is the problem

* make errors clearer

* uh

* test

* Update __init__.py

* disabling ddp on windows

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Co-authored-by: czkkkkkk <zekucai@gmail.com>

* Fix Column.record_stream(...) for unmaterialized tensors

* lint

* Record streams for indices on non-materialized columns

* add docstring

* fix for cpu index

* Record also stream on storage

* Always call self.storage.record_stream when storage is on GPU

* fix lint

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Co-authored-by: Xin Yao <xiny@nvidia.com>

* add SVD positional encoding

* modify importing module

* Fixed certain problems

* Change the test unit to a nonsigular one

* Fixed typo and make accord with lintrunner

* added svd_pe into dgl.rst

* Modified dgl.rst

* remove_mock_sparse_example

* mock_sparse_test

* remove_mock_sparse

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Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* [Doc] Labor sampling improvement

When importance sampling option is used, the returned blocks include edge weights that need to be used during the message passing operation. So, I am including this in the documentation.

* Add documentation to weighted sampling case also

* swap-example

* size-shape
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* part1

* more

* more

* spmatrix

* code
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* add_backslash

* fix

* more

* blabla
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* fix

* sddmm

* change

* blabla

* blabla

* revert

* newpr

* tocuda
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* fix sparse reduce and softmax doc

* Update softmax.py

Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* [Sparse] Add spmatrix creation function

* Update

* Update sparse_matrix.py

* Update sparse_matrix.py
Co-authored-by: Hongzhi (Steve), Chen <chenhongzhi.nkcs@gmail.com>

* [Sparse] Polish the docstring of sparse_matrix.py

* Update

* Update

* Update

* Update

* update conda branch

* fix conda

* update conda

* update

* update windows build script

* copy static library to build dir

* try again

* fix

* lint

* [Sparse] Only support scalar or vector values in SparseMatrix creators

* Update

* Update sparse_matrix.py
Co-authored-by: Hongzhi (Steve), Chen <chenhongzhi.nkcs@gmail.com>