GitLab

* unit graph that prefers coo queries

* auto detect coo preference

* forgot some functions

* disable lint on detect_prefer_coo

* reorg

* change comment

* lint

* fix

* move array_utils.h to src

* compact graph impl

* fix redundant copying in idhashmap

* docstring

* moving preference detection to C

* lint

* fix unit test & address comments

* hypersparse autorestrict

* docstring & fix

* revert copyto and asnumbits

* fix stupid bug

* lint

* leave a TODO for sorted COO

* fixing same node type mapping to different id in different graphs

* addresses comments

* made induced nodes a feautre column

* lint?

* First commit

* Update

* Update splitters

* Update

* Update

* Update

* Update

* Update

* Update

* Migrate ACNN

* Fix

* Fix

* Update

* Update

* Update

* Update

* Update

* Update

* Finish classification

* Update

* Fix

* Update

* Update

* Update

* Fix

* Fix

* Fix

* Update

* Update

* Update

* trigger CI

* Fix CI

* Update

* Update

* Update

* Add default values

* Rename

* Update deprecation message

* trying to refactor IndexSelect

* partial implementation

* add index select and assign for floats as well

* move to random choice source

* more updates

* fixes

* fixes

* more fixes

* adding python impl

* fixes

* unit test

* lint

* lint x2

* lint x3

* update metapath2vec

* debugging performance

* still debugging for performance

* tuning

* switching to succvec

* redo

* revert non-uniform sampler to use vector

* still not fast

* why does this crash with OpenMP???

* because there was a data race!!!

* add documentations and remove assign op

* lint

* lint x2

* lol what have i done

* lint x3

* fix and disable gpu testing

* bugfix

* generic random walk

* reorg the random walk source code

* Update randomwalks.h

* Update randomwalks_cpu.cc

* rename file

* move internal function to anonymous ns

* reorg & docstrings

* constant restart probability

* docstring fix

* more commit

* random walk with restart, tested

* some fixes

* switch to using NDArray for choice

* massive fix & docstring

* lint x?

* lint x??

* fix

* export symbols

* skip gpu test

* addresses comments

* replaces another VecToIdArray

* add randomwalks.h to include

* replace void * with template

* several nn example

* appnp

* fix lint

* lint

* add dgi

* fix

* fix

* fix

* fff

* docs

* 111

* fix

* change init

* change result

* tiaocan+1

* fix

* fix lint

* fix

* fix

* Add boundary check for heterograph build with card as input

* Fix when u or v is empty

* fix test_kernel.py error print

* Revert "fix test_kernel.py error print"

This reverts commit a71c20292549c0ac62a5326c30669ca4bde8febc.

* Turn op validation check on graph and bipartite by default

* upd

* udp

* upd

* update test

* Fix the random seed and fix the _print_error

* Fix check_positive_edge_sampler sample weight.
Co-authored-by: Zihao Ye <zihaoye.cs@gmail.com>
Co-authored-by: VoVAllen <VoVAllen@users.noreply.github.com>

* another fix

* another try

* fix

* rewriting with kernel functions

* revert mxnet softmax changes

* lint fix
Co-authored-by: Zihao Ye <zihaoye.cs@gmail.com>

* remote copy from parent

* upd

* make test_sampler easier to pass

* [BUG] Fix empty heterograph creation with list & tuple

* more fix

* [Feature] Pickle support for heterograph

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

* upd

* upd

* upd

* upd

* lint

* upd

* upd

* upd

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

* upd

* upd

* attach positive.

* add neg_deg_sample.

* add comment.

* add neg_deg_sample for eval.

* change the edge sampler.

* rename edge sampler in KG.

* allow specifying chunk size and negative sample size separately.

* fix bugs in KG.

* add check in sampler.

* add more checks.

* fix

* add comment.

* add comments.

* upd

* upd

* lint

* upd

* upd

* lint

* upd

* refactor

* lint

* upd

* upd

* upd

* lint

* fix

* fix

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* complete test

* upd

* upd

* fix

* vir

* upd

* fix

* fuck

* fix numerical

* hot fix

* Fix docs

* Fix ArrayHeap float overflow bug

* Fix

* Clean some dead code

* Fix

* FIx

* Add some comments

* run test

* API change of kvstore

* add demo for kvstore

* update

* remove duplicated log

* change queue size

* update

* update

* update

* update

* update

* update

* update

* update

* update

* fix lint

* change name

* update

* fix lint

* update

* update

* update

* update

* change message queue size to a python argument

* change default queue size to 2GB

* OMP_NUM_THREADS=1

* add multiple NICs support for kvstore

* test

* fix lint

* update

* update

* update

* update

* update

* update

* update

* fix lint

* fix lint

* update

* update

* update

* update

current samplers only support working on CPU

* Add weight based edge sampler

* Can run, edge weight work.
TODO: test node weight

* Fix node weight sample

* Fix y

* Update doc

* Fix syntex

* Fix

* Fix GPU test for sampler

* Fix test

* Fix

* Refactor EdgeSampler to act as class object not function that it
can record its own private states.

* clean

* Fix

* Fix

* Fix run bug on kg app

* update

* update test

* test

* Simply python API and fix some C code

* Fix

* Fix

* Fix syntex

* Fix

* Update API description

* add replacement for edge sampler

* Now edge sampler support replacement and no-replacement

* Fix

* Fix

* change kg/app to use edge sampler with replacement config

* Update replacement algo

* Fix syntax

* Update

* Update
Co-authored-by: Da Zheng <zhengda1936@gmail.com>

* get subgraph with halo.

* add partition function.

* add comment.

* parallel partition.

* fix a compilation error.

* fix lint error.

* address comments.

* add comments.

* fix for TF.

* tf

* add builtin support

* fiix

* pytest

* fix

* fix

* fix some bugs

* fix selecting

* fix todo

* fix test

* fix test fail in tf

* fix

* fix

* fix gather row

* fix gather row

* log backend

* fix gather row

* fix gather row

* fix for pytorch

* fix

* fix

* fix

* fix

* fix

* fix tests

* fix

* fix

* fix

* fix

* fix

* fix

* fix convert

* fix

* fix

* fix

* fix inplace

* add alignment setting

* add debug option

* Revert "add alignment setting"

This reverts commit ec63fb3506ea84fff7d447a1fbdfd1d5d1fb6110.

* tf ci

* fix lint

* fix lint

* add tfdlpack

* fix type

* add env

* fix backend

* fix

* fix tests

* remove one_hot

* remove comment

* remove comment

* fix

* use pip to install all

* fix test

* fix base

* fix

* fix

* add skip

* upgrade cmake

* change version

* change ci

* fix

* fix

* fix

* fix

* fix seg fault

* fix

* fix python version

* fix

* try fix

* fix

* fix

* tf takes longer time in ci

* change py version

* fix

* fix

* fix oom

* change kg env

* change kg env

* 啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊

* 我再也不搞各种乱七八糟环境了……

* use pytest

* Chang image

* try node

* try

* fix

* try new ci

* try new ci

* try new ci

* try new ci

* ci

* try

* try

* fix

* hot fix

* fix

* fix cpp test

* add comments

* tf

* add builtin support

* fiix

* pytest

* fix

* fix

* fix some bugs

* fix selecting

* fix todo

* fix test

* fix test fail in tf

* fix

* fix

* fix gather row

* fix gather row

* log backend

* fix gather row

* fix gather row

* fix for pytorch

* fix

* fix

* fix

* fix

* fix

* fix tests

* fix

* fix

* fix

* fix

* fix

* fix

* fix convert

* fix

* fix

* fix

* fix inplace

* add alignment setting

* add debug option

* Revert "add alignment setting"

This reverts commit ec63fb3506ea84fff7d447a1fbdfd1d5d1fb6110.

* tf ci

* fix lint

* fix lint

* add tfdlpack

* fix type

* add env

* fix backend

* fix

* fix tests

* remove one_hot

* remove comment

* remove comment

* fix

* use pip to install all

* fix test

* fix base

* fix

* fix

* add skip

* upgrade cmake

* change version

* change ci

* fix

* fix

* fix

* fix

* fix seg fault

* fix

* fix python version

* fix

* try fix

* fix

* fix

* tf takes longer time in ci

* change py version

* fix

* fix

* fix oom

* change kg env

* change kg env

* 啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊

* 我再也不搞各种乱七八糟环境了……

* use pytest

* Chang image

* try node

* try

* fix

* try new ci

* try new ci

* try new ci

* try new ci

* ci

* try

* try

* fix

* tf

* add builtin support

* fiix

* pytest

* fix

* fix

* fix some bugs

* fix selecting

* fix todo

* fix test

* fix test fail in tf

* fix

* fix

* fix gather row

* fix gather row

* log backend

* fix gather row

* fix gather row

* fix for pytorch

* fix

* fix

* fix

* fix

* fix

* fix tests

* fix

* fix

* fix

* fix

* fix

* fix

* fix convert

* fix

* fix

* fix

* fix inplace

* add alignment setting

* add debug option

* Revert "add alignment setting"

This reverts commit ec63fb3506ea84fff7d447a1fbdfd1d5d1fb6110.

* tf ci

* fix lint

* fix lint

* add tfdlpack

* fix type

* add env

* fix backend

* fix

* fix tests

* remove one_hot

* remove comment

* remove comment

* fix

* use pip to install all

* fix test

* fix base

* fix

* fix

* add skip

* upgrade cmake

* change version

* change ci

* fix

* fix

* fix

* fix

* fix seg fault

* fix

* fix python version

* fix

* try fix

* fix

* fix

* tf takes longer time in ci

* change py version

* fix

* fix

* fix oom

* change kg env

* change kg env

* 啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊

* 我再也不搞各种乱七八糟环境了……

* use pytest

* Chang image

* Add weight based edge sampler

* Can run, edge weight work.
TODO: test node weight

* Fix node weight sample

* Fix y

* Update doc

* Fix syntex

* Fix

* Fix GPU test for sampler

* Fix test

* Fix

* Refactor EdgeSampler to act as class object not function that it
can record its own private states.

* clean

* Fix

* Fix

* Fix run bug on kg app

* update

* update test

* test

* Simply python API and fix some C code

* Fix

* Fix

* Fix syntex

* Fix

* Update API description

* change ci image

* fix

* force bash

* fix

* fix python version

* fix

* fix

* fix

* update gpu

* cuda

* jenkins

* fix build sh

* fix

* Revert "fix"

This reverts commit 6b091914b3ef6b4300fa662ee375aa4b27944f5c.

* try fix

* fix

* Revert "fix"

This reverts commit e42c3035fa4974c6b197aaba0748f7b45113ddaa.

* try fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix tests

* try fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix ctx problem

* fix many tests

* fix typo

* add backend

* move to pytorch folder

* fix?

* fix ci

* try skip

* try false

* try?

* try?

* Revert to 7d9a52f

* fix various

* fix lint

* Revert Jenkinsfile

* revert env

* revert env

* address comment

* remove file

* [Bug] Fix #1088

* fix

* add comment

* fix

* improve

* fix lint

* upd

* fix

* upd

* fix

* unit test

* To(device) should return updated object

* Add test case and doc

* Add another doc

* Add descriptions  and a test

* Pass test

* Update

* Update

* Update

* Fix

* CI style fix

* CI fix style

* Fix

* Try CI

* Fix test

* Update

* Update

* Update

* Update

* Update

* Try CI

* Small change for kvstore api

* fix ci

* fix ci

* Performance improvment for distributed kvstore

* update

* update

* 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

* [BUG] Fix #717

* fix mxnet test

* 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

* Update Knowledge Graph CI with new Docker image

* Remove unused line_profierx

* Poke Jenkins

* Update test with exit code check and simplify docker

* Update Jenkinsfile to make app test a standalone stage

* Update kg_test

* Update Jenkinsfile

* Make some KG test parallel

* Update

* KG MXNet does not support ComplEx

* Update Jenkinsfile

* Update Jenkins file

* Change torch-1.2 to torch-1.2-cu92

* ci

* Update ubuntu_install_mxnet_cpu.sh

* Update ubuntu_install_mxnet_gpu.sh

* We only need to test train and eval script.
Delete some test code