GitLab

* [Conda] Update license

* doc fixes

* 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 code for mxnet TAGCov

* Update some docs

* Fix some code

* Update docs dgl.nn.mxnet

* Update weight init

* Fix

* initial commit

* second commit

* another commit

* change docstring

* migrating to dgl.nn

* fixes

* docs

* lint

* multiple fixes

* doc

* gat

* upd

* upd sage

* upd

* upd

* upd

* upd

* upd

* add gmmconv

* upd ggnn

* upd

* upd

* upd

* upd

* add citation examples

* add README

* fix cheb

* improve doc

* formula

* upd

* trigger

* lint

* lint

* upd

* add test for transform

* add test

* check

* upd

* improve doc

* shape check

* upd

* densechebconv, currently not correct (?)

* fix cheb

* fix

* upd

* upd sgc-reddit

* upd

* trigger

* rgcn module

* support id input

* WIP: model codes

* use faster index select

* dropout

* self loop

* WIP: link prediction

* fix lint

* WIP: docs

* docstring

* docstring

* merge two child classes

* mxnet rgcn module

* fix lint

* fix lint

* fix rename bug

* add uniform edge sampler

* fix fn name

* docstring

* fix mxnet rgcn module

* fix mx rgcn

* enable test on cuda

* removal doc

* glob

* upd

* rm knn

* add softmax

* upd

* upd

* add broadcast and s2s

* optimize max_on

* forsaken changes to heterograph

* upd

* upd

* upd

* upd

* upd

* bugfix

* upd

* upd

* upd

* upd

* format upd

* upd format

* upd doc

* upd

* import order

* upd

* rm warnings

* fix

* upd test

* upd

* upd

* fix device

* upd

* upd

* upd

* upd

* remove 1.1

* upd

* trigger

* trigger

* add more tests

* fix device

* upd

* upd

* refactor

* fix?

* fix

* upd docstring

* refactor

* upd

* fix

* upd

* upd

* upd

* fix

* upd docs

* add shape

* refactor & upd doc

* upd doc

* upd

* add local scope function

* fix lint

* fix docstring

* change local_scope to local_var; add context manager

* address comments

* rng refactor

* fix bugs

* unit test

* remove setsize

* lint

* fix test

* use explicit instantiation instead of inlining

* stricter test

* use tvm solution

* moved python interface to dgl.random

* lint

* address comments

* make getthreadid an inline function

* fix doc

* fix some format and warnings

* fix

* add doc of NodeFlow.

* add missing API in nodeflow.

* add docs and two more API to NodeFlow.

* add more docs.

* fix.

* fix.

* fix.

* add docs for distributed sampler.

* doc page for builtin functions; install from source doc

* upload rst

* update

* to_bidirected

* to_bidirected

* Fix style

* Fix

* Update

* Fix

* Fix

* Update

* Add examples

* add graph_to

* use backend copy_to

* add test

* fix test

* framework agnostic to() test

* disable pylint complaint

* add examples

* fix docstring

* formatting

* Format

* Update test_to_device.py

* upd

* upd

* reformat

* upd

* upd

* add test

* fix arange

* fix slight bug

* upd

* trigger

* upd docs

* upd

* upd

* upd

* change subgraph to be raw data wrapper

* upd

* fix test

* 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

* add graph classification dataset

* add node label

* add TUDataset

* Modify to consistent with Qi Huang's implementation

* add docs

* Add docs

* Fix change of environment variable

* Update tu.py

* Update tu.py

* Fix error when add node with np.int64

* fix rgcn tutorial

* small fix

* upd

* findedge/s

* upd

* upd

* upd

* upd

* add test

* remove redundancy

* upd

* upd

* upd

* upd

* add edge_subgraph

* explicit cast

* add test immutable subg

* reformat

* reformat

* fix bug

* upd

* hotfix

* subgraph docs

* fix adj mat

* fix edges() order

* add test

* revert

* upd

* fix

* upd

* fix rgcn tutorial

* small fix

* upd

* findedge/s

* upd

* upd

* upd

* upd

* add test

* remove redundancy

* upd

* upd

* upd

* upd

* add edge_subgraph

* explicit cast

* add test immutable subg

* reformat

* reformat

* fix bug

* upd

* hotfix

* subgraph docs

* refactor graph conv

* docs & tests

* fix lint

* fix lint

* fix lint

* fix lint script

* fix lint

* Update

* Style fix

* Fix style

* Fix style

* Fix gpu case

* Fix for gpu case

* Hotfix edgesoftmax docs

* Handle repeated features

* Add docstring

* Set default arguments

* Remove dropout from nn.conv

* Fix

* add util fn for renaming

* revert gcn_spmv.py

* mx folder

* fix wierd bug

* fix mx

* fix lint

* Create ppi.py

* Create train_ppi.py

* Update train_ppi.py

* Update train_ppi.py

* Create gat.py

* Update train.py

* Update train_ppi.py

* Update ppi.py

* Update train_ppi.py

* Update ppi.py

* Update train_ppi.py

* Update train_ppi.py

* Update ppi.py

* Update train_ppi.py

* update docs and readme

* batched_graph_classification

* Fix

* Fix

* update tutorial with new dataset

* Final

* Fix doc for dataset

* small fix

* minigc dataset

* more comments

* sphinx

* Max readout and consecutive labeling

* Delete test_readout.py

* Delete test_basics.py

* Test case and fix

* Recover accidentally removed file

* Fix import order

* Fix test case

* Fix

* Fix

* Fix

* Fix

* Fix

* revert

* Fix

* Fix

* Fix

* reverse a graph

* Reverse a graph

* Fix

* Revert "Fix"

This reverts commit 1728826b4f3a083b76dfc0fdecd2bbf943a971b2.

* Fix

* Fix

* Delete vcs.xml

* Delete Project_Default.xml

* Fix

* Fix

* Fix

* Remove outdated test

* Reorg transform and update reverse (#2)

* Reorg transform and update reverse

* Fix doc and test

* Update test

* Resolve conflict

* CI oriented fix

* Remove outdated import

* Fix import

* Fix import

* define __all__ for wildcard imports

* Fix import

* Address circular imports

* Fix

* Fix test case

* Fix

* Fix

* Remove unused import

* Fix

* Fix

* Fix

* add more unit tests for mxnet.

* fix.

* explain the batch dimension.

* update doc.

* disable unit tests on DFS.

* fix graph traversal.

* add sse tutorial

* add mxnet tutorial ci

* fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* Fix ci

* Fix ci

* Fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* Fix CI

Fix CI image

* permission fix

* fix a bug in the code.

* small fix

* fix doc

* fix ci

* shorten the iters

* fix

* remove extra file

* add load_backend api to dynamically switch to another backend

* try fix

* fix tutorial

* fix tutorial

* fix bug in tutorial

* builtin function docstring

* init docstring

* view docstring

* add init to index and fix

* node /edge feature

* Example -> Examples

* fix func hyperlink

* traversal

* fix

* from/to_networkx docstring

* minor

* fix duplicate label

* comment about tensor framework

* from scipy sparse matrix

* fix format errors

* Docs for graph computing

* Docs for graph computing

* Fix

* WIP

* update the docstring

* docstrings for graph mutation & queries

* [Doc] contrib.sampler. (#200)

* subgraph docs

* updates

* Fix dataset

* Track data APIs

* Docstring for udf

* Track udf docs

* Improve

* Improved

* Delete udf.py

* Improve

* Update doc

* Update batched_graph.py

* Fix

* Fix

* Fix

* Fix

* bfs with edges

* dfs toy test case

* clean up

* style fix

* bugfix

* updating docs for bfs_edges and readouts

* add examples in traversal.py

* message propagate methods

* use the new message propagation for tree-lstm

* update to the new name

* update propagate API doc

* update doc

* add propagate utest