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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