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* fix docs of to_block

* fix

* oops

* more fixes

* cirtical performance fix - reduce atomic

 * training faster up to 50%

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

* Update

* Update

* Update

* Update

* Update

* Fix bug

* Update

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* UPdate

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* Finalize

* upd

* upd

* lint

* fix

* bloody lint

* fix tests in graph partition book.

* implement node_split and edge_split.

* fix a bug.

* add tests.

* remove unnecessary code.

* avoid storing graph structure in partition book.

* add partition book in DistGraph.

* Revert "avoid storing graph structure in partition book."

This reverts commit 55b11fbf9293efcae5f8c97e93f1e121399dadae.

* small fixes.

* add a test for boolean mask vector.

* fix test.

* fix bugs.

* make it work for all different cases.

* fix tests.

* fix boolean mask

* fix for TF

* fix for tensorflow.

* fix test for TF

* only support boolean mask for now.

* fix tests.

* make the code more readable.

* fix test.
Co-authored-by: Chao Ma <mctt90@gmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* upd

* upd

* better

* pickle compatibility before 0.4.2

* fixing for utils.Index

* add TODOs

* fix

* fix

* more compatibility checks for DGLGraph and DGLHeteroGraph objects

* lint
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* upd

* simplify

* further simplify

* lint

* doc

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* lint

* rename format

* upd

* lint

* upd

* upd

* upd

* udp

* debug

* upd

* upd

* upd

* upd

* upd

* 无可厚非吧

* 中三边肥

* 你一定要喊吗

* lint

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* Update unit_graph.h
Co-authored-by: Zihao Ye <yzh119@192.168.0.110>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* 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>

* write warning for remove_edges.

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

* [Performance] fixing performance on heterogeneous graph creation in specific cases

* fix for mxnet

* 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>

* Turn to official dlpack

* fix

* fix

In the previous code, the same vector was being assigned to all the nodes in each graph.
`:` was used incorrectly assuming that only one row will be selected for each column but all rows were selected for each column.

* fix

* upd

* upd

* upd

* upd

* clone

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

* Add graph-partition-book

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* udpate

* fix lint

* update

* update

* update

* update

* update

* update

* update

* skip test on GPU

* update

* update

* update

* update

* update

* update

* update

* fix lint

* update

* update

* update

* update

* fix unittest

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* 111

* 111

* lint

* lint

* lint

* lint

* fix

* lint

* try

* fix

* lint

* lint

* test

* fix

* ttt

* test

* fix

* fix

* fix

* mxnet

* 111

* fix 64bits computation

* pylint

* roll back

* fix

* lint

* fix hetero_from_relations

* remove index_dtype in to_homo and to_hetero

* fix

* fix

* fix

* fix

* remove default

* fix

* lint

* fix

* fix error message

* fix error

* lint

* macro dispatch

* try

* lint

* remove nbits

* error message

* fix

* fix

* lint

* lint

* lint

* fix

* lint

* fix

* fix random walk

* lint

* lint

* fix

* fix

* fix

* lint

* fix

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

* add test.

* move test code.

* remvoe unnecessary test.

* fix.

* turn on tests for TF.

* Revert "move test code."

This reverts commit e7b4f36395b2121a7be030bd4364a704d0e357bf.

* fix.

* fix.

* skip test for tensorflow.
Co-authored-by: Chao Ma <mctt90@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>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-26-167.us-east-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-16-150.us-west-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-16-250.us-west-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-30-135.us-west-2.compute.internal>

* fix get-shape

* update

* update

* update

* update

* update

* fix typo

* update

* update

* add functions

* fix litn

* add unit test

* fix

* fix

* fix

* fix

* support empty dict

* simplify logic

* Update tensor_serialize.py

* add clone function to frame

* add utest

* replace all local_var with local_scope

* fix utest

* avoid creating canonical types in __getitem__

* lint

* try another utest  appraoch for mx

* utest

* add bool to F.data_type_dict

* add utest

* skip bool test for mx

In order to make the `label2idx` dictionary, tensor values should be used and not the tensor itself.
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* 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>

* add functions

* fix litn

* add unit test

* fix

* fix

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* fix lint

* update

* Update network.cc
Co-authored-by: Da Zheng <zhengda1936@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>

* add init_data on client

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* fix lint

* fix lint

* update

* update

* update

* update

* update

* update

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

* support any data type for init_data

* update

* update