GitLab

* fix heterograph conv

* remove test cases

* fix test

* fix test

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

* Update

* Update

Co-authored-by: Ubuntu <ubuntu@ip-172-31-68-185.ec2.internal>

* Update adj

* Fix

* Update graph

* Fix for dgl.graph

* from_scipy

* Replace canonical_etypes with relations

* from_networkx

* Update for hetero_from_relations

* Roll back the change of canonical_etypes to relations

* heterograph

* bipartite

* Update doc

* Fix lint

* Fix lint

* Fix test cases

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* Update

* Fix test

* Fix

* Update

* Use DGLError

* Update

* Update

* Update

* Update

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* Update

* Fix

* Update

* Fix

* Fix

* Fix

* Update

* Fix

* Update

* Fix

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Fix

* Fix

* Update

* Update

* Update

* Update

* Update

* Update

* rewrite sanity checks

* delete unnecessary checks

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Fix

* Update

* Update

* Update

* Fix

* Fix

* Fix

* Update

* Fix

* Update

* Fix

* Fix

* Update

* Fix

* Update

* Fix
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
Co-authored-by: Quan Gan <coin2028@hotmail.com>

* mx tf relconv

* use method instead of private attr

* src and dst have different fc for gat

* update edgeconv

* change sage and sgconv

* no degree check on gin

* add remainding API doc

* fix pylint

* infer fc_src and fc_dst, only one tensor for block

* fix pytest

* go through gcn, relgcn

* fix tagconv formula

* fix doc in sageconv

* fix sgconv doc

* replace hat with tilde

* more comments on gmmconv

* fix agnnconv chebconv doc

* modify nnconv doc

* remove &

* add nn conv examples

* Rebase master

* More merge conflicts

* check homo

* add back self loop for some convs, check homo in tranform

* add example for denseconv

* add example and doc for dotgat and cfconv

* check in-degree for graphconv

* add language fix

* gconv address all comments

* another round of change based on api template

* change agnn

* go through agnn, appnp, atomic, cf, cheb, dense, gat, sage modules

* finish pytorch part of nn conv

* mxnet graphconv done

* tensorflow graphconv works

* add new modules into doc

* add comments to not split code

* refine doc

* resr

* more comments

* more fix

* finish conv and dense conv part api

* pylint fix

* fix pylink

* fix pylint

* more fix

* fix

* fix test fail because zere in degree

* fix test fail

* sage is not update for mxnet tf
Co-authored-by: Ubuntu <ubuntu@ip-172-31-0-81.us-east-2.compute.internal>

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd
Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-3.us-east-2.compute.internal>

* Merge

* [Graph][CUDA] Graph on GPU and many refactoring (#1791)

* change edge_ids behavior and C++ impl

* fix unittests; remove utils.Index in edge_id

* pass mx and th tests

* pass tf test

* add aten::Scatter_

* Add nonzero; impl CSRGetDataAndIndices/CSRSliceMatrix

* CSRGetData and CSRGetDataAndIndices passed tests

* CSRSliceMatrix basic tests

* fix bug in empty slice

* CUDA CSRHasDuplicate

* has_node; has_edge_between

* predecessors, successors

* deprecate send/recv; fix send_and_recv

* deprecate send/recv; fix send_and_recv

* in_edges; out_edges; all_edges; apply_edges

* in deg/out deg

* subgraph/edge_subgraph

* adj

* in_subgraph/out_subgraph

* sample neighbors

* set/get_n/e_repr

* wip: working on refactoring all idtypes

* pass ndata/edata tests on gpu

* fix

* stash

* workaround nonzero issue

* stash

* nx conversion

* test_hetero_basics except update routines

* test_update_routines

* test_hetero_basics for pytorch

* more fixes

* WIP: flatten graph

* wip: flatten

* test_flatten

* test_to_device

* fix bug in to_homo

* fix bug in CSRSliceMatrix

* pass subgraph test

* fix send_and_recv

* fix filter

* test_heterograph

* passed all pytorch tests

* fix mx unittest

* fix pytorch test_nn

* fix all unittests for PyTorch

* passed all mxnet tests

* lint

* fix tf nn test

* pass all tf tests

* lint

* lint

* change deprecation

* try fix compile

* lint

* update METIDS

* fix utest

* fix

* fix utests

* try debug

* revert

* small fix

* fix utests

* upd

* upd

* upd

* fix

* upd

* upd

* upd

* upd

* upd

* trigger

* +1s

* [kernel] Use heterograph index instead of unitgraph index (#1813)

* upd

* upd

* upd

* fix

* upd

* upd

* upd

* upd

* upd

* trigger

* +1s

* [Graph] Mutation for Heterograph (#1818)

* mutation add_nodes and add_edges

* Add support for remove_edges, remove_nodes, add_selfloop, remove_selfloop

* Fix
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>

* upd

* upd

* upd

* fix

* [Transfom] Mutable transform (#1833)

* add nodesy

* All three

* Fix

* lint

* Add some test case

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* fix

* triger

* Fix

* fix
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>

* [Graph] Migrate Batch & Readout module to heterograph (#1836)

* dgl.batch

* unbatch

* fix to device

* reduce readout; segment reduce

* change batch_num_nodes|edges to function

* reduce readout/ softmax

* broadcast

* topk

* fix

* fix tf and mx

* fix some ci

* fix batch but unbatch differently

* new checkk

* upd

* upd

* upd

* idtype behavior; code reorg

* idtype behavior; code reorg

* wip: test_basics

* pass test_basics

* WIP: from nx/ to nx

* missing files

* upd

* pass test_basics:test_nx_conversion

* Fix test

* Fix inplace update

* WIP: fixing tests

* upd

* pass test_transform cpu

* pass gpu test_transform

* pass test_batched_graph

* GPU graph auto cast to int32

* missing file

* stash

* WIP: rgcn-hetero

* Fix two datasety

* upd

* weird

* Fix capsuley

* fuck you

* fuck matthias

* Fix dgmg

* fix bug in block degrees; pass rgcn-hetero

* rgcn

* gat and diffpool fix
also fix ppi and tu dataset

* Tree LSTM

* pointcloud

* rrn; wip: sgc

* resolve conflicts

* upd

* sgc and reddit dataset

* upd

* Fix deepwalk, gindt and gcn

* fix datasets and sign

* optimization

* optimization

* upd

* upd

* Fix GIN

* fix bug in add_nodes add_edges; tagcn

* adaptive sampling and gcmc

* upd

* upd

* fix geometric

* fix

* metapath2vec

* fix agnn

* fix pickling problem of block

* fix utests

* miss file

* linegraph

* upd

* upd

* upd

* graphsage

* stgcn_wave

* fix hgt

* on unittests

* Fix transformer

* Fix HAN

* passed pytorch unittests

* lint

* fix

* Fix cluster gcn

* cluster-gcn is ready

* on fixing block related codes

* 2nd order derivative

* Revert "2nd order derivative"

This reverts commit 523bf6c249bee61b51b1ad1babf42aad4167f206.

* passed torch utests again

* fix all mxnet unittests

* delete some useless tests

* pass all tf cpu tests

* disable

* disable distributed unittest

* fix

* fix

* lint

* fix

* fix

* fix script

* fix tutorial

* fix apply edges bug

* fix 2 basics

* fix tutorial
Co-authored-by: yzh119 <expye@outlook.com>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-7-42.us-west-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-1-5.us-west-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-68-185.ec2.internal>

* slice dstdata from srcdata within nn module

* a bunch of fixes

* add comment

* fix gcmc layer

* repr for blocks

* fix

* fix context

* fix

* do not copy internal columns

* docstring

* neighbor sampler data loader first commit

* more commit

* nodedataloader

* fix

* update RGCN example

* update OGB

* fixes

* fix minibatch RGCN crashing with self loop

* reverting gatconv test code

* fix

* change to new solution that doesn't require tf dataloader

* fix

* lint

* fix

* fixes

* change doc

* fix docstring

* docstring fixes

* return seeds and input nodes from data loader

* fixes

* fix test

* fix windows build problem

* add pytorch wrapper

* fixes

* add pytorch wrapper

* add unit test

* add -1 support to sample_neighbors & fix docstrings

* docstring fix

* lint

* add minibatch rgcn evaluations
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Co-authored-by: Tong He <hetong007@gmail.com>

* init gat

* fix

* gin

* 7 nn modules

* rename & lint

* upd

* upd

* fix lint

* upd test

* upd

* lint

* shape check

* upd

* lint

* address comments

* update tensorflow
Co-authored-by: Quan Gan <coin2028@hotmail.com>
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

* multiple fixes

* lint

* lint x2

* 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>

* upd

* upd

* upd

* upd

* lint

* upd

* upd

* upd

* upd
Co-authored-by: VoVAllen <VoVAllen@users.noreply.github.com>

* 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

* add test

* fix

* upd

* merge

* hotfix

* upd

* fix

* 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

* refactor

* upd mpnn

* 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

* 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

* 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

* fix gat code to use latest edge softmax module

* avoid transpose

* update README

* use edge_softmax op

* mxnet edge softmax op

* mxnet gat

* update README

* fix unittest

* fix ci

* fix mxnet nn test; relax criteria for prod reducer

* 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