GitLab

* * Added half_(), float_(), and double_() functions to DGLHeteroGraph, HeteroNodeDataView, and HeteroEdgeDataView, for converting floating-point tensor data to float16, float32, or float64 precision

* * Extracted out private functions for floating-point type conversion, to reduce code duplication

* * Added test for floating-point data conversion functions, half_(), float_(), and double_()

* * Moved half_(), float_(), and double_() functions from HeteroNodeDataView and HeteroEdgeDataView to Frame class

* * Updated test_float_cast() to use dgl.heterograph instead of dgl.graph

* Added to CONTRIBUTORS.md

* * Changed data type conversion to be deferred until the data is accessed, to avoid redundant conversions of data that isn't used.

* * Addressed issues flagged by linter

* * Worked around a bug in the old version of mxnet that's currently used for DGL testing

* * Only defer Column data type conversion if there is a pending device transfer or index sampling to be done.  This is expected to be the desired behaviour based on discussions of a few use cases, as described in the comments.

* * Moved floating-point feature data conversion functions to dgl.transforms.functional
* Changed them from in-place behaviour to shallow copy (out-of-place) behaviour

* * Fixed linter issues

* * Removed lines that unintentionally added to_half, to_float, and to_double to DGLHeteroGraph
* Moved _init_api line to the end of the file again

* * Removed one of the two leading underscores from Frame.__astype_float, making it not fully private
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>

* Change the curand_init parameter

* Change the curand_init parameter

* commit

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

* Based on issue #3436. Improving _SegmentCopyKernel s GPU utilization by switching to nonzero based thread assignment

* fixing lint issues

* Update cub for cuda 11.5 compatibility (#3468)

* fixing type mismatch

* tx guaranteed to be smaller than nnz. Hence removing last check

* minor: updating comment

* adding three unit tests for csr slice method to cover some corner cases
Co-authored-by: Abdurrahman Yasar <ayasar@nvidia.com>
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

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

* update.

* update.

* fix.
Co-authored-by: Zheng <dzzhen@88665a0acb11.ant.amazon.com>

Co-authored-by: Zihao Ye <expye@outlook.com>

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

Add RotatE support for KGE (apps/kg)
Performance Result:
Dataset FB15k:
Result from Paper:
MR: 40
MRR: 0.797
HIT@1: 74.6
HIT@3: 83.0
HIT@10: 88.4

Our Impl:
MR: 39.6
MRR: 0.725
HIT@1: 62.8
HIT@3: 80.2
HIT@10: 87.5

* Update CONTRIBUTORS.md

* Update CONTRIBUTORS.md

* GAT

* Fix mistake

* Fix

* hotfix

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* Update

* Update

* Update

* Fix style

* Hotfix

* Hotfix

* Hotfix

* Fix

* Fix

* Update

* CI trial

* Update

* Update

* Update

* [Model] Add edge dropout to APPNP

[Model] Add edge dropout to APPNP

* [Model] Refactor the sampling examples (#498)

* reorganize sampling code.

* speedup gcn_ns.

* speed up gcn_cv

* fix graphsage_cv.

* undo the modification.

* accel training.

* update readme.

* [Model] Add edge dropout to APPNP

[Model] Add edge dropout to APPNP

update

* add gin model

* convert dataset.py to data_ont_the_fly way and put it into dgl.data module

* convert dataset.py to data_ont_the_fly way and put it into dgl.data module
python code checked

* modified document and reference TUDataset; checked python part and bypass cpp part due to error

* change tensor to numpy in dataset and transform in collate@Dataloader

* Change minor format issue

Change minor format issue

* moved logging; adjusted tqdm etc

* fix docs remote instead of remove

* Update CONTRIBUTORS.md

* minor spelling tweaks

* Update CONTRIBUTORS.md

* test basics

* batched graph & filter, mxnet filter fix

* frame and function; bugfix

* test graph adj and inc matrices

* fixing start = 0 for mxnet

* test index

* inplace update & line graph

* multi send recv

* more tests

* oops

* more tests

* removing old test files; readonly graphs for mxnet still kept

* modifying test scripts

* adding a placeholder for pytorch to reserve directory

* torch 0.4.1 compat fixes

* moving backend out of compute to avoid nose detection

* tests guide

* mx sparse-to-dense/sparse-to-numpy is buggy

* oops

* contribution guide for unit tests

* printing incmat

* printing dlpack

* small push

* typo

* fixing duplicate entries that causes undefined behavior

* move equal comparison to backend

* reorg the doc mainpage

* contribute guide