GitLab

* Distributed heterograph (#3)

* heterogeneous graph partition.

* fix graph partition book for heterograph.

* load heterograph partitions.

* update DistGraphServer to support heterograph.

* make DistGraph runnable for heterograph.

* partition a graph and store parts with homogeneous graph structure.

* update DistGraph server&client to use homogeneous graph.

* shuffle node Ids based on node types.

* load mag in heterograph.

* fix per-node-type mapping.

* balance node types.

* fix for homogeneous graph

* store etype for now.

* fix data name.

* fix a bug in example.

* add profiler in rgcn.

* heterogeneous RGCN.

* map homogeneous node ids to hetero node ids.

* fix graph partition book.

* fix DistGraph.

* shuffle eids.

* verify eids and their mappings when loading a partition.

* Id map from homogneous Ids to per-type Ids.

* verify partitioned results.

* add test for distributed sampler.

* add mapping from per-type Ids to homogeneous Ids.

* update example.

* fix DistGraph.

* Revert "add profiler in rgcn."

This reverts commit 36daaed8b660933dac8f61a39faec3da2467d676.

* add tests for homogeneous graphs.

* fix a bug.

* fix test.

* fix for one partition.

* fix for standalone training and evaluation.

* small fix.

* fix two bugs.

* initialize projection matrix.

* small fix on RGCN.

* Fix rgcn performance (#17)
Co-authored-by: Ubuntu <ubuntu@ip-172-31-62-171.ec2.internal>

* fix lint.

* fix lint.

* fix lint.

* fix lint.

* fix lint.

* fix lint.

* fix.

* fix test.

* fix lint.

* test partitions.

* remove redundant test for partitioning.

* remove commented code.

* fix partition.

* fix tests.

* fix RGCN.

* fix test.

* fix test.

* fix test.

* fix.

* fix a bug.

* update dmlc-core.

* fix.

* fix rgcn.

* update readme.

* add comments.
Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-202.us-west-1.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-9-132.us-west-1.compute.internal>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-62-171.ec2.internal>

* fix.

* fix.

* add div_int.

* fix.

* fix.

* fix lint.

* fix.

* fix.

* fix.

* adjust.

* move code.

* handle heterograph.

* return pytorch tensor in GPB.

* remove some tests in example.

* add to_block for distributed training.

* use distributed to_block.

* remove unnecessary function in DistGraph.

* remove distributed to_block.

* use pytorch tensor.

* fix a bug in ntypes and etypes.

* enable norm.

* make the data loader compatible with the old format.

* fix.

* add comments.

* fix a bug.

* add test for heterograph.

* support partition without reshuffle.

* add test.

* support partition without reshuffle.

* fix.

* add test.

* fix bugs.

* fix lint.

* fix dataset.

* fix for mxnet.

* update docstring.

* rename to floor_div

* avoid exposing NodePartitionPolicy and EdgePartitionPolicy.

* fix docstring.

* fix error.

* fixes.

* fix comments.

* rename.

* rename.

* explain IdMap.

* fix docstring.

* fix docstring.

* update docstring.

* remove the code of returning heterograph.

* remove argument.

* fix example.

* make GraphPartitionBook an abstract class.

* fix.

* fix.

* fix a bug.

* fix a bug in example

* fix a bug

* reverse heterograph sampling.

* temp fix.

* fix lint.

* Revert "temp fix."

This reverts commit c450717b9f578b8c48769c675f2a19d6c1e64381.

* compute norm.

* Revert "reverse heterograph sampling."

This reverts commit bd6deb7f52998de76508f800441ff518e2fadcb9.

* fix.

* move id_map.py

* remove check

* add more comments.

* update docstring.
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Co-authored-by: Ubuntu <ubuntu@ip-172-31-9-132.us-west-1.compute.internal>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-62-171.ec2.internal>

* [Model] MixHop for Node Classification task

* [docs] update

* [docs] update

* [fix] remove seed option

* [fix] update readme

* [feature] support qm9 dataset

* [style] update

* [docs] fix the details

* [fix] indexing only support int

* [style] update

* [fix] multiple backends support

* [docs] add qm9

* [fix] Z type: float32 -> int32

* [fix] Z type: int32 -> long

* [docs] add ref

* [docs] fix

* [docs] update

* [docs] update

* [fix] test eval

* [docs] fix example
Co-authored-by: xnuohz@126.com <ubuntu@ip-172-31-44-184.us-east-2.compute.internal>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

This is a TensorFlow implementation of Simple Graph Convolution. For
simplicity, we use the implementation of AdamW in TensorFlow Addons
that differs from Adam in PyTorch. This results in worse performance
on the evaluation datasets.
Co-authored-by: Josh Carty <joshuac@spotify.com>
Co-authored-by: Zihao Ye <expye@outlook.com>

* add sagpool example for pytorch backend

* polish sagpool example for pytorch backend

* [Example] SAGPool: use std variance

* [Example] SAGPool: change to std

* add sagpool example to index page

* add graph property prediction tag to sagpool

* [Example] add graph classification example HGP-SL

* [Example] fix sagpool

* fix bug

* [Example] change tab to space in README of hgp-sl

* remove redundant files

* remote redundant network

* [Example]: change link from code to doc in HGP-SL

* [Example] in HGP-SL, change to meaningful name

* [Example] Fix path mistake for 'hardgat'
Co-authored-by: zhangtianqi <tianqizh@amazon.com>

* Add hgat example

* Add experiment

* Clean code

* clear the code

* Add index in README

* Add index in README

* Add index in README

* Add index in README

* Add index in README

* Add index in README

* Change the code title and folder name

* Ready to merge

* Prepare for rebase and change message passing function

* use git ignore to handle empty file

* change file permission to resolve empty file

* Change permission

* change file mode
Co-authored-by: Chen <chesirui@3c22fbe5458c.ant.amazon.com>
Co-authored-by: Tianjun Xiao <xiaotj1990327@gmail.com>

* gnnfilm

* update

* readme
Co-authored-by: zhjwy9343 <6593865@qq.com>

* Add Implementation of GRAND

* Performance updated

* Update README.md

add indexing entries

* add indexing entries for grand

* change grand from 2021 to 2020

* [Example] fix some bugs

* [Examples] fix bug
Co-authored-by: 张恒瑞 <hengrui@macbook.local>
Co-authored-by: 张恒瑞 <hengrui@192.168.124.35>
Co-authored-by: zhjwy9343 <6593865@qq.com>

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

* add bench jenkins

* instance type

* fix

* fix

* fix

* 111

* test

* 111

* 111

* fix

* test

* run

* fix

* fix

* fix

* fix

* fix

* publish results

* 111

* regression

* launch ec2 script

* fix

* add

* run on master

* change

* rrr

* run gpu

* fix

* fix

* try fix

* fix

* ff

* fix

* fix

* fix

* refactor

* fix

* fix

* update

* fix

* fix

* fix

* fix

* remove import torchtext

* add shm size

* update

* fix

* fix

* fix

* fix

* fix this!!!!

* 111

* fix

* remove verbose

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* update readme

* fix

* fix

* fix

* change asv default to head

* commit sage and rgcn

* fix

* update

* update graphdataloader in docs

* fix

* update examples

* fix sagpool
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* add sagpool example for pytorch backend

* polish sagpool example for pytorch backend

* [Example] SAGPool: use std variance

* [Example] SAGPool: change to std

* add sagpool example to index page

* add graph property prediction tag to sagpool
Co-authored-by: zhangtianqi <tianqizh@amazon.com>

* Update

* Update

* Update

* Update README.md

* Update README.md

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update gatedgraphconv.py

* Update entity_classify.py

* Update data-process.rst

* Update reading_data.py

* Update data-process.rst

* Update utils.py

* Update knowledge_graph.py

* Update entity_classify.py

* Update rdf.py

* Update entity_classify_mb.py

* Update test_classify.py

* Update tensor.py

* Update sparse.py

* Update entity_classify_mp.py

* Update 6_line_graph.py

* [Model] MixHop for Node Classification task

* [docs] update

* [docs] update

* [fix] remove seed option

* [fix] update readme
Co-authored-by: xnuohz@126.com <ubuntu@ip-172-31-44-184.us-east-2.compute.internal>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* correct error when using enisum

* Correct error when using enisum
Co-authored-by: Zihao Ye <expye@outlook.com>

Co-authored-by: Zihao Ye <expye@outlook.com>

* modify code with buildin function

* use enisum
Co-authored-by: Zihao Ye <expye@outlook.com>

In the bucket sampler, the length array should be recovered after random picking samples.

* sign for ogbn products, arxiv, mag

* texts

* fix

* update ogb folder readme

* use dgl nightly build
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* upd

* upd

* upd

* upd

* upd

* fix OpenMP compatibility issues

* typo

* partition

* misc

* fix typo

* num_parts=1

* import torch

* long

* print info

* print info

* print info

* upd

* remove debug code

* revert partition.py

* fix cut count

* fix cut count

* Revert "fix cut count"

This reverts commit 10926b4fd48f45c8f1ddb58be7db6c22e653effd.

* Revert "fix cut count"

This reverts commit 76465283bef093a2b4209ad70dd15d2437b2ec8a.

* type of deprecate

* typo in deprecate info

* fix typo

* use cv for partitioning

* CE

* no message

* revert

* typo

* no message

* no message

* no message

* practice

* dmlc-core

* DGLGraph
Co-authored-by: yzh119 <expye@outlook.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* [Bug] fix multiple bugs in JTNN example

* remove debug code

* add sparse and mutil gpu support

* update multi gpu

* update readme

* remove multi gpu

* add multiple gpus support
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Zihao Ye <expye@outlook.com>

* line

* two lines

* update readme

* readme

* update readme

* update

* Implement LINE

* readme

* readme

* typos

* update readme
Co-authored-by: Zihao Ye <expye@outlook.com>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* [Example] GCN on ogbn-arxiv dataset

* Add README.md

* Update GCN implementation on ogbn-arxiv

* Update GCN on ogbn-arxiv

* Fix typo

* Use evaluator to get results

* Fix duplicated

* Fix duplicated

* Update GCN on ogbn-arxiv

* Add GAT for ogbn-arxiv

* Update README.md

* Update GAT on ogbn-arxiv

* Update README.md
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
Co-authored-by: Zihao Ye <expye@outlook.com>

* update

* update

* update

* update

* update

Co-authored-by: Ubuntu <ubuntu@ip-172-31-10-127.us-west-2.compute.internal>
Co-authored-by: Chao Ma <mctt90@gmail.com>

* line

* two lines

* update readme

* readme

* update readme

* update
Co-authored-by: Zihao Ye <expye@outlook.com>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-24-210.ec2.internal>