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* doc

* minor

* black

* no-lint

* reorg
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* remove unnecessary exposure.

* remove_add_power

* remove_warning

* reorder
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* Update diag_matrix.py

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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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* 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>

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

* 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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* Add biased multi-head attention module (dense)

* fix lint issues

* refine according to dongyu's comments
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* added relgraphconv

* add tests for CuGraphRelGraphConv

* move test to tests directory

* update docs

* address PR review 1

* address PR review, continued

* remove stashing ctx.device

* make fanout optional

* fanout -> max_in_degree

* improve docstrings consistency

* initialize parameters directly in __init__

* get rid of shared memory size check

* improve docs

* format comments

* skip test case for regularizer=None
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* add ToLevi transform

* fix parameter typo

* fix lint issues

* fix device issue

* refine according to dongyu's comments
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rename DGLHeteroGraph to DGLGraph

* shortest dist

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* address issues

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* fix indent

* lint

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* 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

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* add save/load for distributed  optimizer
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* add a learned laplacian positional encoder

* leverage black to beautify the python code

* refine according to dongyu's comments
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* [Model] Heterogeneous graph support for GNNExplainer (#1)

* add HeteroGNNExplainer

* GNNExplainer for heterogeenous graph

* fix typo

* variable name cleanup

* added HeteroGNNExplainer test

* added doc indexing for HeteroGNNExplainer

* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
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* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
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* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
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* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
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* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
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* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
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* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
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* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
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* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
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* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
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* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
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* Update gnnexplainer.py

Change DGLHeteroGraph to DGLGraph, and specified parameter inputs

* Added ntype parameter to the explainer_node call

* responding to @mufeili's comment regarding restoring empty lines at appriopiate places to be consistent with existing practices

* responding to @mufeili's comment regarding restoring empty lines at appriopiate places that were missed in the last commit

* docstring comments added based on @mufeili suggestions

* indorporated @mufeili requested changes related to docstring model declaration.

* example model and test_nn.py added for explain_graphs

* explain_nodes fixed and fixed the way hetero num nodes and edges are handled

* white spaces removed

* lint issues fixed

* explain_graph model updated

* explain nodes model updated

* minor fixes related to gpu compatability

* cuda support added

* simplify WIP

* _init_masks for ennexplainer updated to match heterographs

* Update

* model simplified and docstring comments updated

* nits: docstring udpated

* lint check issues updated

* lint check updated

* soem formatting updated

* disabling int32 testing for GNNExplainer

* Update
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* metapath2vec package

* fix bugs --metapath2vec package

* add unittest and fix bugs

* fix pyling messages

* del init.py

* fix bugs

* modify metapath2vec and add deepwalk

* metapath2vec module

* Update

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* rollback to initial metapath2vec

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* add double radius node labeling

* add doc

* add test

* fix lint issue

* update

* update

* update

* update

* fix lint

* replace with pow

* autosummary for attributes

* revert accidental push

* revert accidental push

* added example
Co-authored-by: Israt Nisa <nisisrat@amazon.com>

* metapath2vec package

* fix bugs --metapath2vec package

* add unittest and fix bugs

* fix pyling messages

* del init.py

* fix bugs

* modify metapath2vec and add deepwalk

* deepwalk module

* del metapath2vec files

* Update

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* Fix
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* sddmm init

* SDDMM with N-D nonzero values

* drop support for vector shaped non zero elements

* address comments

* skip cpu test

* skip GPU test too
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* Update

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* update test
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* [Sparse] Add reduction operators

* Fix linting problem

* Fix linting problem

* Fix linting problem

* Fix docstring

* Fix test cases

* Fix linting problem

* Skip reduction unittests

* [Sparse] Add Transposition

* Fix docstring

* Fix linting problem

* Minor fix

* Minor fix
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* init

* Add api doc for sparse library

* support op btwn matrices with differnt sparsity

* Fixed docstring

* addresses comments

* lint check

* change keyword format to fmt
Co-authored-by: Israt Nisa <nisisrat@amazon.com>

* enable turn on/off libxsmm at runtime by adding a global config and related API
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* dist index chapter

* preproc chapter

* rst

* tools page

* partition chapter

* rst

* hetero chapter

* 7.1 step1

* add parmetis back

* changed based on feedback

* address comments

* [Feature] enable graph partition book support canonical etypes

* fix lint

* fix lint

* add todo

* refine according to review comments

* fix lint

* refine naming

* revert PartitionPolicy __init__

* refine docstring

* fix doc string

* Added to_cugraph and from_cugraph functionality

* fix from_cugraph example

* Addressed Reviews

* Fix linting

* Apply suggestions to docstrings from code review
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>

* Add API docs and remove `from_cugraph` alias

* move cugraph tests to  tests/cugraph/test_basics.py

* remove ununsed imports from test_basics.py

* remove pytest.importorskip as no longer needed
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* [Dist] defer to load node/edge feats

* fix lint

* Update python/dgl/distributed/partition.py
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* Update python/dgl/distributed/partition.py
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>

* fix lint
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>

* * Added functions from dgl.transforms.functional that were missing from the list for documentation in dgl.rst

* * Sorted transform ops list in dgl.rst in alphabetical order
Co-authored-by: Xin Yao <xiny@nvidia.com>

* Add Flickr and Yelp dataset

* Update flickr.py

* update

* Update yelp.py

* Update yelp.py

* update

* Update yelp.py

* Update test_data.py

* Update yelp.py

* update

* Update test_data.py

* Update yelp.py
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* Fix bugs & Update dataset

* Update

* Update wikics.py

* Update wikics.py

* Update test_data.py

* Update wikics.py

* Update wikics.py

* Update wikics.py

* update

* Update module.py

* Update dgl.data.rst

* Update wikics.py

* Update wikics.py
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* Update

* CI

* Update

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* Fix

* Fix