GitLab

* update work with different backend section

* fix some warnings

* Update backend.rst

* Update index.rst
Co-authored-by: VoVAllen <VoVAllen@users.noreply.github.com>

* [Doc] Tree-LSTM in DGL, edit pass for readability

Edit for grammar and style. 
How about deleting the last line? "Besides, you..." It needs a transition or some context.

* Update tutorials/models/2_small_graph/3_tree-lstm.py

* Update tutorials/models/2_small_graph/3_tree-lstm.py

* Old wines new title, edit for grammar and style

new descriptive title here and an edit pass @aaronmarkham

* Update tutorials/models/4_old_wines/README.txt

* don't have activation.

* add evaluation.

* address comment.

* [Doc] Small graphs readme.txt, edit pass

Edit for grammar and style. Should this be an .rst on .txt?

* Update README.txt

* [Doc] Generative models, edit pass

Edit for grammar and style. Can you clarify "Instead of and/or"?

* Update tutorials/models/3_generative_model/5_dgmg.py

* Update tutorials/models/3_generative_model/5_dgmg.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

* Update tutorials/models/3_generative_model/5_dgmg.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

* Update tutorials/models/3_generative_model/5_dgmg.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

* Update tutorials/models/3_generative_model/5_dgmg.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

Edit pass for grammar and style

Edited for grammar and style.

Edit pass for grammar and style

* Edit for readability

* giant_graph_readme edit for grammar

* NodeFlow and Sampling edit pass for grammar

* Update tutorials/models/1_gnn/9_gat.py

* Update tutorials/models/1_gnn/9_gat.py

Revisions for grammar and style

* Edit pass

Updates for grammar and readability

* Update tutorials/models/1_gnn/6_line_graph.py

* Update tutorials/models/1_gnn/6_line_graph.py

* Update tutorials/models/1_gnn/6_line_graph.py

Grammar and style updates

* Edit for grammar and style

Improve readability

* Update tutorials/models/1_gnn/README.txt
Co-Authored-By: Aaron Markham <markhama@amazon.com>

* Update tutorials/models/1_gnn/README.txt
Co-Authored-By: Aaron Markham <markhama@amazon.com>

* Edit for grammar and style

As with other tutorials, it would help the reader if you add a paragraph in the opening section about assumptions or prerequisites.

Does this refer to SageMaker Ground Truth feature? "...assigns its ground truth label..." If yes, phrase it thus: assigns its Amazon SageMaker Ground Truth label

* Update tutorials/basics/4_batch.py

* Update tutorials/basics/4_batch.py

* Update tutorials/basics/4_batch.py

topologies

* Update tutorials/basics/4_batch.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

* Edit for readability

Edit pass for grammar and style. 
* A great value-add would be to provide assumptions and prerequisites in the opening section. This helps readers understand what they need to have in place in order to make use of your tutorial steps.
* The wikidata knowledge graph could be improved with a smaller font for the Zuckerberg circle.

* Update tutorials/hetero/1_basics.py

* Update tutorials/hetero/1_basics.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

* Update tutorials/hetero/1_basics.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

* Update tutorials/hetero/1_basics.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

* Update tutorials/hetero/1_basics.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

* Update tutorials/hetero/1_basics.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

Can you add a link for the download to this sentence: You can also `download <location?>` and run the different code examples...
As with other tutorial topics, it would be helpful to add your assumptions or information in the opening section about prerequisites.

* Edit for grammar and style

In the opening paragraph, it would be helpful to provide some overall scenario and the prerequisites you expect readers to have completed before they start here. "This tutorial assumes you have already..." Add a link to Install DGL topic perhaps and any other framework or IDE or even specialized knowledge. With this context, you help readers to succeed by setting expectations.

Better to group all tutorials (this, PageRank with, Batched Graph, Working with) at the same level in the left navigation rail and all as subsections of DGL Basics.

* Update tutorials/basics/2_basics.py

* upd

* fig edgebatch edges

* add test

* trigger

* Update README.md for pytorch PinSage example.

Add noting that the PinSage model example under
example/pytorch/recommendation only work with Python 3.6+
as its dataset loader depends on stanfordnlp package
which work only with Python 3.6+.

* Provid a frame agnostic API to test nn modules on both CPU and CUDA side.

1. make dgl.nn.xxx frame agnostic
2. make test.backend include dgl.nn modules
3. modify test_edge_softmax of test/mxnet/test_nn.py and
    test/pytorch/test_nn.py work on both CPU and GPU

* Fix style

* Delete unused code

* Make agnostic test only related to tests/backend

1. clear all agnostic related code in dgl.nn
2. make test_graph_conv agnostic to cpu/gpu

* Fix code style

* fix

* doc

* Make all test code under tests.mxnet/pytorch.test_nn.py
work on both CPU and GPU.

* Fix syntex

* Remove rand

* Add TAGCN nn.module and example

* Now tagcn can run on CPU.

* Add unitest for TGConv

* Fix style

* For pubmed dataset, using --lr=0.005 can achieve better acc

* Fix style

* Fix some descriptions

* trigger

* Fix doc

* Add nn.TGConv and example

* Fix bug

* Update data in mxnet.tagcn test acc.

* Fix some comments and code

* delete useless code

* Fix namming

* Fix bug

* Fix bug

* Add test for mxnet TAGCov

* Add test code for mxnet TAGCov

* Update some docs

* Fix some code

* Update docs dgl.nn.mxnet

* Update weight init

* Fix

* reproduce the bug

* Fix concurrency bug reported at #755.
Also make test_shared_mem_store.py more deterministic.

* Update test_shared_mem_store.py

* Update dmlc/core

* networkx >= 2.4 will break our examples

* Update tutorials/requirements

* fix selfloop edges

* upd version

Simple editorial updates

* heterograph tutorial skeleton

* [WIP][Tutorial] Heterogeneous graph tutorial

* fix

* update

* enable tutorial test in CI.

* reduce overhead.

* fix doc

* fix some format and warnings

* fix

* doc page for builtin functions; install from source doc

* upload rst

* update

* minor fix

* Update 2_giant.py

* fix.

* fix.

* tutorial.

* update images.

* add index.

* update.

* update tutorial.

* add sampling tutorial.

* add readme

* update author list.

* fix indent in the code.

* rename the file.

* update tutorial.

* fix the last API.

* update image.

* Update 9_gat.py

* Update 1_gcn.py

* refactored sampler code

* docstring

* fix tutorial

* don't return aux_info.

* fix sampler test.

* fix sse.

* fix.

* add comment.

* 9_gat.py

* readme

* Update 9_gat.py

* Update 9_gat.py

* fix format

* sample layer subgraphs.

* fix.

* fix.

* add layered subgraph.

* fix lint.

* fix.

* fix tutorial.

* fix.

* remove copy_to_parent.

* add num_layers

* move sampling code to sampler.cc

* fix.

* move subgraph construction out.

* Revert "move subgraph construction out."

This reverts commit 24b3d13b0d8ed5f91847ea75a7674ee8f7d45cff.

* change to NodeFlow.

* use NodeFlow in Python.

* use NodeFlowIndex.

* add node_mapping and edge_mapping.

* remove unnecessary code in SSE tutorial.

* Revert "remove unnecessary code in SSE tutorial."

This reverts commit 093f0413d5fa2e63ca5f80c46c80a126a9fb720c.

* fix tutorial.

* move to node_flow.

* update gcn cv updater.

* import NodeFlow.

* update.

* add demo code for vanilla control variate sampler.

* update.

* update.

* add neighbor sampling.

* return flow offsets.

* update node_flow.

* add test.

* fix sampler.

* fix graph index.

* fix a bug in sampler.

* fix map_to_layer_nid and map_to_flow_eid.

* fix apply_flow.

* remove model code.

* implement flow_compute.

* fix a bug.

* reverse the csr physically.

* add mini-batch test.

* add mini batch test.

* update flow_compute.

* add prop_flows

* run on specific nodes.

* test copy

* fix a bug in creating frame in NodeFlow.

* add init gcn_cv_updater.

* fix a minor bug.

* fix gcn_cv_updater.

* fix a bug.

* fix a bug in NodeFlow.

* use new h in gcn_cv_updater.

* add layer_in_degree and layer_out_degree.

* fix gcn_cv_updater for gpu.

* temp fix in NodeFlow for diff context.

* allow enabling/disabling copy back.

* add with-updater option.

* fix a bug in computing degree.

* add with-cv option.

* rename and add comments.

* fix lint complain.

* fix lint.

* avoid assert.

* remove assert.

* fix.

* fix.

* fix.

* fix.

* fix the methods in NodeFlow.

* fix lint.

* update SSE.

* remove gcn_cv_updater.

* correct comments for the schedulers.

* update comment.

* add map_to_nodeflow_nid

* address comment.

* remove duplicated test.

* fix int.

* fix comments.

* fix lint

* fix.

* replace subgraph with NodeFlow.

* move view.

* address comments.

* fix lint.

* fix lint.

* remove static_cast.

* fix docstring.

* fix comments.

* break SampleSubgraph.

* move neighbor sampling to sampler.cc

* fix comments.

* rename.

* split neighbor_list.

* address comments.

* fix.

* remove TODO.

* fix rgcn tutorial

* small fix

* upd