GitLab

* add rgcn acc bench

* fix issue of multiple parametrize

* model acc/speed test: RGCN

* fix dep problem in docker run

* add docstring

* Add sage neighbor sample test for reddit

* Add ogbn-products dataset

* upd

* upd

* use symbolic other than copy data for ogb datasets

* upd

* upd

* Add graphsage unsupervised neighbor sampler
Co-authored-by: Ubuntu <ubuntu@ip-172-31-59-204.ec2.internal>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* delete shared memory when receive signal.

* rename.

* fix lint.

* fix lint.

* fix compile.

* Fix.

* we need to report error if the shared memory exist.

* disable tensorflow test for shared memory.

* revert.
Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-202.us-west-1.compute.internal>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* Update

* Update

* Update

* Update README.md

* Update README.md

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* first commit

* some thoughts

* move around

* more commit

* more fixes

* now it uses torch allocator

* fix symbol export error

* fix

* fixes

* test fix

* add script

* building separate library per version

* fix for vs2019

* more fixes

* fix on windows build

* update jenkinsfile

* auto copy built dlls for windows

* lint and installation guide update

* fix

* specify conda environment

* set environment for ci

* fix

* fix

* fix

* fix again

* revert

* fix cmake

* fix

* switch to using python interpreter path

* remove scripts

* debug

* oops sorry

* Update index.rst

* Update index.rst

* copies automatically, no need for this

* do not print message if library not found

* tiny fixes

* debug on nightly

* replace add_compile_definitions to make CMake 3.5 happy

* fix linking to wrong lib for multiple pytorch envs

* changed building strategy

* fix nightly

* fix windows

* fix windows again

* setup bugfix

* address comments

* change README

* upd

* fix-link

* lint

* PPIDataset

* Revert "PPIDataset"

This reverts commit 264bd0c960cfa698a7bb946dad132bf52c2d0c8a.

* data pipeline user guide

* remove chapter numbers

* Update data.rst

* image in dataset userguide

* update links using ref

* modify the link of save_graphs and load_graphs in dataset user guide

* move image to s3 server.

* fix links and ref

* Hide implementations that may cause confusions to the user

* add papers

* Update gatedgraphconv.py

* Update entity_classify.py

* Update data-process.rst

* Update reading_data.py

* Update data-process.rst

* Update utils.py

* Update knowledge_graph.py

* Update entity_classify.py

* Update rdf.py

* Update entity_classify_mb.py

* Update test_classify.py

* Update tensor.py

* Update sparse.py

* Update entity_classify_mp.py

* Update 6_line_graph.py

* [Model] MixHop for Node Classification task

* [docs] update

* [docs] update

* [fix] remove seed option

* [fix] update readme
Co-authored-by: xnuohz@126.com <ubuntu@ip-172-31-44-184.us-east-2.compute.internal>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* add 4 papers

* fix

* upd cmake

* upd

* format

* remove details about message passing optimization

* address comments

Remove the out-dated part. Add a link to the get started page.

* add machine name

* update scripts

* update script

* test commit

* change run.sh

* model acc bench for gcn and sage

* get basic pipeline setup for local benchmarking

* try to bridge pytest with asv

* fix deps

* move asv to other folders

* move dir

* update script

* new setup

* delete useless file

* delete outputs

* remove dependency on pytest

* update script

* test commit

* stuck by torch version in dgl-ci-gpu

* update readme

* update asv conf

* missing files

* remove the old regression folder

* api bench

* add batch api bench
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* reuse.

* fix compile.
Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-202.us-west-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-57-25.ec2.internal>

* correct error when using enisum

* Correct error when using enisum
Co-authored-by: Zihao Ye <expye@outlook.com>

* disable openmp in arithmetic operation

* lint

* Update array_op_impl.cc
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* [Doc] Add CN index page

* [Doc] Test table in contributor list

* [Doc] Test table in contributor list

* [Doc] Add table contents in contributor list

* [Doc] Add table contents in contributor list

* [Doc] Edit table contents in contributor list

* [Doc] Edit table contents in contributor list
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* modify the wrong code in initialize the hetero_graph negative sampler

the etype in hetero graph should be name of edges
self.weights = {
            etype: g.in_degrees(etype=etype).float() ** 0.75
            for _, etype, _ in g.canonical_etypes
        }
the original code will give etype a Tuple format, it cannot apply to the next processing:
self.weights[etype].multinomial(len(src), replacement=True)
and I add the part which confusing me to generate eid_dict

* fix
Co-authored-by: Quan Gan <coin2028@hotmail.com>
Co-authored-by: Shaow <coco11563@yeah.net>

* [Doc] Add CN chapter 5

* [Doc] Add CN 5.1

* [Doc] Add CN 5.2, 5.3, and 5.4 raw text

* [Doc] Add CN 5.2, 5.3, and 5.4 raw text

* [Doc] Put 5.1 CN parts

* [Doc] Put 5.2，5.3, and 5.4 raw CN parts

* [Doc] Fix linkage bugs.

* [Doc] 1st round of copyediting, Chapter5, 5.1, and part of 5.2

* [Doc] 2nd round of copyediting, removing EN parts.

* [Doc] 2nd round of copyediting, removing EN parts.

* [Doc] 2nd round of copyediting, removing EN parts.

* [Doc] 2nd round of copyediting, removing EN parts.

* [Doc] 3rd round of copyediting.

* [Doc] 4th round of copyediting to Minjie's comments.

* [Doc] 4th round of copyediting to Minjie's comments.

* [Doc] 4th round of copyediting to Minjie's comments.

* [Doc] 4th round of copyediting to Minjie's comments.

* [Doc] 4th round of copyediting to Minjie's comments.

* [Doc] 4th round of copyediting to Minjie's comments.

* [Doc] 5th round of copyediting to Murphy's comments.

* Some functions used in the tutorial are deprecated

I'm receiving register_message_func and register_reduce_func are deprecated error. I have updated the code such that message and reduce functions are passed to g.send and g.recv

* Update 3_pagerank.py.bak
Co-authored-by: Zihao Ye <expye@outlook.com>

* Update README.md

* Update README.md

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

The variable name 'eid' should be 'nid'

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

* add example code to user guide

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

Add GraphHINGE paper (Conference Version (KDD'20) and Journal Version) in Awesome Papers Using DGL.
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* modify code with buildin function

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

* Update

* Update

* Update README.md

* Update README.md