GitLab

* Fix outdated example

* Hot fix

* upd

* damn it

* fuck

* fuck pylint

* fudge

* remove some comments about MXNet

* upd

* upd

* damn it

* damn it

* fuck

* fuck

* upd

* upd

* pylint bastard

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* 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

* Change Byte to Bool for training masks

* Check if module has Bool, otherwise use Byte

* Update

* Update

* Update

* Fix style

* Update

* Update

* Fix

* Update

* Update

* Refactor

* Add note

* Update

* CI

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update fix

* Update

* Update

* Refactor

* Update

* Update

* Update

* Update

* Update

* Update

* Fix style

* GAT

* Fix mistake

* Fix

* hotfix

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* Update

* Update

* Update

* Fix style

* Hotfix

* Hotfix

* Hotfix

* Fix

* Fix

* Update

* CI trial

* Update

* Update

* Update

* jtnn model zoo

* poke ci

* fix line sep

* fix

* Fix import order

* fix render

* fix render

* revert

* fix

* Resolve conflict

* dix

* remove create_var

* refactor

* fix

* refactor

* readme

* format

* fix lint

* fix lint

* pylint

* lint

* fix lint

* fix lint

* add hint

* fix

* Remove vocab

* Add explanation for warning

* add directory

* Load model to cpu by default

* Update

* Make dataset framework agnostic

* Update

* Update

* Fix

* Remove unused import

* refactor

* upd mpnn

* 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

* [Model] MPNN

* [Model] MPNN 🔨 reorganize the mpnn/sch/mgcn model & alchemy dataset

* [Model] MPNN alchemy dataloader refactoring

* [Model] Chem model zoo minor change

* [Model] Chem Model Zoo 🔥 remove old samples

* [Model Zoo] molecule regression minor change

* Fix dataset import

* Fix dataset import

* [Model Zoo] molecule regression test set

* [Model Zoo] molecule prediction MPNN model hyperparameter tuning

* [Model Zoo] molecule prediction ✏ mpnn performance update

* DGMG for molecule generation

* Fix CI check

* Fix for CI

* Trial for CI due to shared memory

* Update

* Better interface for dataset configuration

* Update

* Handle corner cases

* Update README

* Fix

* Fix

* Fix

* Fix

* Fix

* Refactor

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* Update

* Fix

* Fix

* Fix

* Fix

* Fix

* Finallly

* [Model zoo] Model zoo (#765)

* tox21

* fix ci

* fix ci

* fix urls to url

* add doc

* remove binary

* model zoo

* test

* markdown

* fix typo

* fix typo

* fix typo

* raise error

* fix lint

* remove unnecessary

* fix doc

* fix

* fix

* fix

* fix

* fix

* fix

* Update

* CI

* Fix

* Fix

* Fix

* Fix

* Fix

* CI