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* lint fix

* lint fix

* Fix lint

* Update

* Fix CI

* Fix CI

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-31-136.us-west-2.compute.internal>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* squeeze node labels in FraudDataset

* fix RLModule

* update results in README.md

* fix KeyError in full graph training
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* enable unit tests for dataloader on the GPU

* fix compatibility

* copyright

* fix linting
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>

* Update

* Fix

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* Fix for TF

* [Model][Core] GATv2

* lint

* gatv2conv.py

* lint

* lint

* style and docs

* lint

* gatv2conv fix
Co-authored-by: Shaked Brody shakedbr@campus.technion.ac.il <shakedbr@tangerine.cslcs.technion.ac.il>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* added nn pytorch egatconv

* aligned with test build

* aligned with test build

* fixed wihite spaces

* fixed wihite spaces

* fixed wihite spaces

* added missing egatconv in imports

* added indentation in forward

* GATConv based implementation

* removed **kw_args

* added dgl relative imports

* PR corrections

* added DGL Error to EGATConv imports

* Update test_nn.py
Co-authored-by: Argusmocny <k.kaminski@cent.uw.edu.pl>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* gpu compact graph template

* cuda compact graph draft

* fix typo

* compact graphs

* pass unit test but fail in training

* example using EdgeDataLoader on the GPU

* refactor cuda_compact_graph and cuda_to_block

* update training scripts

* fix linting

* fix linting

* fix exclude_edges for the GPU

* add --data-cpu & fix copyright

* try to avoid memory leak

* try to avoid memory leak

* avoid memory leak with no hope

* Revert "avoid memory leak with no hope"

This reverts commit c77befe9479f46758e744642f66dd209b50eef7d.

* no message

* Update sparse.py

* Update tensor.py
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

[PyTorch][Bugfix] Use uint8 instead of bool in pytorch to be compatible with nightly version (#3406)

* Use uint8 instead of bool in pytorch

* Handle type aliases

* Fix syntax error
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

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

* [Feature] enable create/set/free cuda stream for internal use

* add unit test

* fix unit test failure on mxnet and tf

* refactor stream wrapper

* fix lint error

* fix lint error

Co-authored-by: JingchengYu94 <jingchengyu94@gmail.com>

* [Feature] Exclude edges in sample_neighbors

Extending sample_neighbors and sample_frontier
API to support exclude_edges parameter.

exclude_edges support tensor and dict data
Feature enable excluding certain edges
during neighborhood sampling
Exclude_edges contains EID's of edges
which will be excluded
during neighbor picking for seed nodes.

Added test case for heterograph and homograph
RFC issue id: 2944

* compatibility

* fix

* fix
Co-authored-by: Quan Gan <coin2028@hotmail.com>

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

[Performance][Feature] Add `src_nodes` paramter to `to_block()` to avoid cost running unique() when available. (#2973)

* Add lhs_nodes are paremeter to to_block

* Update unit test

* Switch to simplified node conversion

* Switch lhs_nodes to be in/out parameter

* Update docs
Co-authored-by: Da Zheng <zhengda1936@gmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* Fix #3291

* update

* fix

* Unit key

* Fix
Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-66.ec2.internal>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* fix start_idx

* fix the bug when cuda > 0
Co-authored-by: Tong He <hetong007@gmail.com>

* rgcn with new heterograph API

* apply_edge() forward for multi relation

* undoing changes from rgcn-hetero

* backward apply_edge(copy_u) added

* unittest for apply_edge(copy_e)

* Compatible with new PRs

* resolving conflict with master

* Bringing back change after resolving conflict

* minor

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

* Added binary builtinMsgFunc forward() for heterograph

* Added backward for u_op_v

* Supports all binary builtin forward

* Supports binary message funcs with reduce func sum

* lint check

* removed import torch from unittest

* enabled GPU test

* lint check

* Fixed docstrings

* rename func get_hs_id

* edited comment
Co-authored-by: Israt Nisa <nisisrat@amazon.com>

[Feature] Add a HINT for the per edge type sampler of heterogeneous DistGraph that highlighting the etypes are sorted already. (#3260)

* pass cpp test

* distgraph use sorted edge flag.

* lint

* triger

* update test
Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-66.ec2.internal>

* Make column double indices lazy

* Copy indices to proper contexts

* Fix initialization

* Add unit test

* Fix unit test for tensorflow

* Remove unused member
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* handle empty frontiers.

* fix lint.

* fix
Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-202.us-west-1.compute.internal>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* Doc: HetGConv note for `edge_type_subgraph`

For the rational behind this note see the discussion in #3003.

* WIP: Requirements for building the docs.

Had to install all these packages to get further with building the docs.

Didn't successfully build them yet, tho.

* Test

* Update

* Update hetero.py

* Update hetero.py
Co-authored-by: Ubuntu <ubuntu@ip-172-31-13-32.us-west-2.compute.internal>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* allow for configuring default_dir

* allow for using DGLDEFAULTDIR environment variable

* Update env_var.rst
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* [Doc] fix formula in RelGraphConv

* refine descriptions

Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Implement range based NDArrayPartition

* Finish implement range based partition support

* Add unit test

* Fix whitepace

* Add Kernel suffix

* Fix argument passing

* Add doxygen docs and improve variable naming

* Add unit test

* Add function for converting a partition book

* Add example to partition_op docs

* Fix dtype conversion for mxnet and tensorflow