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Co-authored-by: Ubuntu <ubuntu@ip-172-31-52-181.ec2.internal>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* Move LifeSci

* Remove doc

* deepwalk

* add docstr, etc.

* add tested version

* some doc

* some doc

* add sample and some docs, fix a bug

* update speed

* update speed

* docs
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* Use new version of Cora

* Fix import

* sign model

* mini-batch GPU eval & set default hyper-parameters

* add readme for sign

* minor

* test

* profile

* opt

* Some fix

* upd

* upd

* Add multigpu training support for graphsage unsupervised

* Add share neg

* Fix

* Add profile

* turn on eval

* upd

* Fix

* performance opt
Co-authored-by: Ubuntu <ubuntu@ip-172-31-12-103.ec2.internal>
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Co-authored-by: Ubuntu <ubuntu@ip-172-31-87-240.ec2.internal>

* another first commit

* test commit

* porting to nowplaying

* fixes

* more updates

* update readme

* add performance

* update

* switch to return_uv

* update result

* Update examples/pytorch/pinsage/process_nowplaying_rs.py
Co-authored-by: Xiagkun Hu <huxk_hit@qq.com>

* update with comments
Co-authored-by: Xiagkun Hu <huxk_hit@qq.com>

* stgcn_wave model

* fix readme

* rm data file

* split sensors2graph

* rm dead code

* fix README

* rename class

* rm seed & dead code

* Update README.md

* rm dead code & networkx

* add num_layer papram, make model structure adjustable

* fix

* add model structure controller string, make code easier to understand and make model strcture more flexible

* Update main.py

* Update model.py

* fix

* Update README.md
Co-authored-by: Ubuntu <ubuntu@ip-172-31-14-255.ap-northeast-1.compute.internal>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Da Zheng <zhengda1936@gmail.com>

* Add an example for GATNE-T

* Update README.md

* Add links for datasets

* Update README.md with running results

* Update README.md

* Add comments

* Update main.py

* Remove node type name `user`
Co-authored-by: Da Zheng <zhengda1936@gmail.com>

* initial version from distributed training.

This is copied from multiprocessing training.

* modify for distributed training.

* it's runnable now.

* measure time in neighbor sampling.

* simplify neighbor sampling.

* fix a bug in distributed neighbor sampling.

* allow single-machine training.

* fix a bug.

* fix a bug.

* fix openmp.

* make some improvement.

* fix.

* add prepare in the sampler.

* prepare nodeflow async.

* fix a bug.

* get id.

* simplify the code.

* improve.

* fix partition.py

* fix the example.

* add more features.

* fix the example.

* allow one partition

* use distributed kvstore.

* do g2l map manually.

* fix commandline.

* a temp script to save reddit.

* fix pull_handler.

* add pytorch version.

* estimate the time for copying data.

* delete unused code.

* fix a bug.

* print id.

* fix a bug

* fix a bug

* fix a bug.

* remove redundent code.

* revert modify in sampler.

* fix temp script.

* remove pytorch version.

* fix.

* distributed training with pytorch.

* add distributed graph store.

* fix.

* add metis_partition_assignment.

* fix a few bugs in distributed graph store.

* fix test.

* fix bugs in distributed graph store.

* fix tests.

* remove code of defining DistGraphStore.

* fix partition.

* fix example.

* update run.sh.

* only read necessary node data.

* batching data fetch of multiple NodeFlows.

* simplify gcn.

* remove unnecessary code.

* use the new copy_from_kvstore.

* update training script.

* print time in graphsage.

* make distributed training runnable.

* use val_nid.

* fix train_sampling.

* add distributed training.

* add run.sh

* add more timing.

* fix a bug.

* save graph metadata when partition.

* create ndata and edata in distributed graph store.

* add timing in minibatch training of GraphSage.

* use pytorch distributed.

* add checks.

* fix a bug in global vs. local ids.

* remove fast pull

* fix a compile error.

* update and add new APIs.

* implement more methods in DistGraphStore.

* update more APIs.

* rename it to DistGraph.

* rename to DistTensor

* remove some unnecessary API.

* remove unnecessary files.

* revert changes in sampler.

* Revert "simplify gcn."

This reverts commit 0ed3a34ca714203a5b45240af71555d4227ce452.

* Revert "simplify neighbor sampling."

This reverts commit 551c72d20f05a029360ba97f312c7a7a578aacec.

* Revert "measure time in neighbor sampling."

This reverts commit 63ae80c7b402bb626e24acbbc8fdfe9fffd0bc64.

* Revert "add timing in minibatch training of GraphSage."

This reverts commit e59dc8957a414c7df5c316f51d78bce822bdef5e.

* Revert "fix train_sampling."

This reverts commit ea6aea9a4aabb8ba0ff63070aa51e7ca81536ad9.

* fix lint.

* add comments and small update.

* add more comments.

* add more unit tests and fix bugs.

* check the existence of shared-mem graph index.

* use new partitioned graph storage.

* fix bugs.

* print error in fast pull.

* fix lint

* fix a compile error.

* save absolute path after partitioning.

* small fixes in the example

* Revert "[kvstore] support any data type for init_data() (#1465)"

This reverts commit 87b6997b

.

* fix a bug.

* disable evaluation.

* Revert "Revert "[kvstore] support any data type for init_data() (#1465)""

This reverts commit f5b8039c6326eb73bad8287db3d30d93175e5bee.

* support set and init data.

* support set and init data.

* Revert "Revert "[kvstore] support any data type for init_data() (#1465)""

This reverts commit f5b8039c6326eb73bad8287db3d30d93175e5bee.

* fix bugs.

* fix unit test.

* move to dgl.distributed.

* fix lint.

* fix lint.

* remove local_nids.

* fix lint.

* fix test.

* remove train_dist.

* revert train_sampling.

* rename funcs.

* address comments.

* address comments.

Use NodeDataView/EdgeDataView to keep track of data.

* address comments.

* address comments.

* revert.

* save data with DGL serializer.

* use the right way of getting shape.

* fix lint.

* address comments.

* address comments.

* fix an error in mxnet.

* address comments.

* add edge_map.

* add more test and fix bugs.
Co-authored-by: Zheng <dzzhen@186590dc80ff.ant.amazon.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-6-131.us-east-2.compute.internal>
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* shared memory history for multi-gpu training

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

* unsupervised graphsage first commit

* fix

* disable remove_edges and still got 0.90 performance

* optimize edgeids with multimap

* change hyperparams

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

* control variate first commit

* bug fixes

* split to single and multi GPU

* update readme

* bugfix

* bugfix

* remove push

* bugfix on multi gpu

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

Co-authored-by: Ubuntu <ubuntu@ip-172-31-38-40.ec2.internal>

* gcmc example

* Update Readme

* Add multiprocess support

* Fix

* Multigpu + dataloader

* Delete some dead code

* Delete more

* upd

* Add README

* upd

* Upd

* combine full batch and sample GCMCLayer, use HeteroCov

* Fix

* Update Readme

* udp

* Fix typo

* Add cpu run

* some fix and docstring
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-63-71.ec2.internal>

* Update README.md

* Update README.md

* simplify shared memory graph index.

* fix.

* remove edge_dir in SharedMemGraphStore.

* avoid creating shared-mem graph store with from_csr.

* simplify from_csr.

* add comments.

* fix lint.

* remove the test.

* fix compilation error.

* fix a bug.

* fix a bug.
Co-authored-by: Ubuntu <ubuntu@ip-172-31-16-150.us-west-2.compute.internal>

* Deprecate multi-graph

* Handle heterograph and edge_ids

* lint

* Fix

* Remove multigraph in C++ end

* Fix lint

* Add some test and fix something

* Fix

* Fix

* upd

* Fix some test case

* Fix

* Fix
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* Add HeteroGraphConv

* add custom aggregator; some docstring

* debugging

* rm print

* fix some acc bugs

* fix initialization problem in weight basis

* passed tests

* lint

* fix graphconv flag; add error message

* add mxnet heteroconv

* more fix for mx

* lint

* fix torch cuda test

* fix mx test_nn

* add exhaust test for graphconv

* add tf heteroconv

* fix comment

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

* fix for new ntype API for blocks

* adding two new interfaces

* change the model to use node embedding only

* minibatch training

* add readme

* small fix

* backward-compatible

* backward compatible

* modify to_block; rgcn changed

* fix

* fix transform

* fix bug in unittest script

* docstring

* fix lint

* add tests

* address comments; fix offline eval

* gitignore

* improve speed

* fix bugs

* upd reg test

* Add filtered metrics for R-GCN example

* Add new line to end of file

* Add evaluation protocol argument option for R-GCN example

* Update README
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>

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

* remove edge and to bipartite and graphsage with sampling

* fixes

* fixes

* fixes

* reenable multigpu training

* fixes

* compatibility in DGLGraph

* rename to compact_as_bipartite

* bugfix

* lint

* add offline inference

* skip GPU tests

* fix

* addresses comments

* fix

* fix

* fix

* more tests

* more docs and unit tests

* workaround for empty slice on empty data

* upd

* upd

* upd

* lint

* fix

* fix test

* fix

* fix

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd tutorial

* upd

* upd

* fix kg

* upd doc organization

* refresh test

* upd

* refactor doc

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

* add working scripts

* add frcnn training script

* remove redundent files

* refactor validation computation, will optimize sgdet and training

* validation finally finished

* f-rcnn training

* test reldn

* rm file

* update reldn training

* data preprocess to h5

* temp

* use coco json

* fix conflict

* new obj dataset for detection

* update training

* before cleanup

* remove abundant files

* add arg parse to train

* cleanup code file

* update

* fix

* add readme

* add ipynb as demo

* add demo pic

* update readme

* add demo script

* improve paths

* improve readme

* add docstrings

* fix args description

* update readme

* add models from s3

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

* update

* str to int

* update

* update

* update

* test remove sync

* update

* update

* update

* update

* update

* update

* update

* update

* clear

* new kvstore

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* test warning

* update

* update

* udpate

* update

* update

* update

* update

* small fix

* small fix

* get group count

* update

* update

* make file

* update

* use addr

* get id

* partition book

* update

* partition

* barrier

* update

* loop count

* update

* update

* update

* update

* update

* update

* update

* update

* update

* add mxnet demo

* update ip

* update

* update

* update

* random

* update

* update

* update

* update

* update

* update

* fix lint

* fix lint

* fix lint

* upd

* upd

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