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* overwrite default_collate_fn

* Update dataloader.py

* Update dataloader.py

* Update dataloader.py

* Update dataloader.py

* Update test_dataloader.py

* revert the test code being reverted in #4956

* Update

* Update

* Update

* lint

* lint

* Update

* CI

* Update diag_matrix.py

* Update sparse_matrix.py

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

* update

* Update

* Update

* Update

* Update
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* Add SpatialEncoder and SpatialEncoder3d

* Optimize the code execution efficiency

* Fixed certain problems according to Dongyu's suggestions.

* Fix an error about probability of division by zero in PathEcoder; Change certain designs in SpatialEncoder

* Fix a typo

* polish the docstring

* fix doc

* lint
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* update

* lint

* lint

* comments
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* new print func

* lintrunner

* pass gcn

* example tests

* pass gcnii, hgnn, sgc, sign

* black

* test file

* add torchmetrics

* migrate appnp, c_and_s, twirls

* fix style

* minor fix

* fix hypergraphatt and twirls

* pass gat

* fix torchmetric

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

* [Sparse] Support BSpMM and BSDDMM

* Update SpMM and SDDMM error messages

* Use TORCH_CHECK

* Update error string

* add coalesce() and has_duplicate()

* Add duplicate check in spspmm

* black

* fix

* clang-format

* lintrunner

* minor fix

* fix

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* Update

* update

* Update

* Update

* Update

* format

* Update

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* Update

* lint

* CI

* CI

* Update

* address comments
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* [Sparse] Add SpSpMM

* Update matmul interface

* address comments

* fix test utils to generate only coalesced matrices

* fix linter

* fix ut

* fix

* rm print
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* initial commit

* lint

* rename

* address comments

* add doctests

* address comments

* remove additional test

* add description

* lint

* lint

* lint

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

* [Sparse] Support SpMM and SDDMM

* Add SDDMMAutoGrad

* Rename SpMMImpl and SDDMMImpl and move them to dgl_sparse/src/matmul.h

* Update comments

* Update

* Minor fix

[Sparse] Add Two Sparse Matrices with Different Sparsity, DiagMatrix.dense, Add SparseMatrix and DiagMatrix (#5044)

* Update

* undo wrong edit

* lint

* fix import

* Update
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* Revert "[Sparse] Add SpMM and SDDMM. (#4999)"

This reverts commit 15365d78.

* lint

* [Sparse] Add SpMM and SDDMM

* Update

* Add CSR and CSC SpMM tests

* Update

* Update

* Update

* Update

* update

* lint

* CI

* CI

* CI
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* Add GraphTransformerLayer (dense)

* beautify the python code with black

* refine according to mufei's comments

* fix AttributeError in unit test

* rename module as GraphormerLayer

* fix name issue
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

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* Update

* update
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* Add PathEncoder to transformer.py

* add blank line at the and

* rename variabl sp to shortest_path

* Fixed corresponding problems

* Fixed certain bugs when running on CUDA

* changed clamp min from 0 to 1
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* Update

* Update
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* fix unit test

* oops

* [Sparse] Support sparse format conversion

* Update

* Update

* Add biased multi-head attention module (dense)

* fix lint issues

* refine according to dongyu's comments
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* Update

* dense

* Update

* Update

* Update

* Update

* Update
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* [Fix]Support HGT mini-batch

* [Test] Update HGT test

* [Conv] nightly update conv

* [Conv] nightly update

* [Sparse] Add sparse matrix C++ implementation

* Add documentation

* Update

* Minor fix

* Move Python code to dgl/mock_sparse2

* Move headers to include

* lint

* Update

* Add dgl_sparse directory

* Move src code to dgl_sparse

* Add __init__.py in tests to avoid naming conflict

* Add dgl sparse so in Jenkinsfile

* Complete docstring & SparseMatrix basic op

* lint

* Disable win tests

* edgewise mpops

* formatting

* black formatting

* isort

* fix lint

* remove typing module; address comments

* fix gpu ut; rename test file

* Add files via upload

This file will contain several utility modules for Graph Transformer. DegreeEncoder has been implemented in this file now.

* Update graph_transformer.py

* Update nn-pytorch.rst

Add graph_transformer.DegreeEncoder in Utility Modules

* Update test_nn.py

* Update __init__.py

* Update graph_transformer.py

* Update test_nn.py

* Update graph_transformer.py

fix unused import

* Update graph_transformer.py

add module doc-string

* Update graph_transformer.py

* Update graph_transformer.py
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