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6 次代码提交

作者 SHA1 备注 提交日期
mszarma 45a54a2541 [Fix] Enable mini-batch rgcn for CPU (#2345) 2020-11-27 03:20:19 +00:00
xiang song(charlie.song) 4ef01dbb05 [Example] Rgcn support ogbn-mag dataset. (#1812)
* rgcn support ogbn-mag dataset

* upd

* multi-gpu val and test

* Fix

* fix

* Add support for ogbn-mag

* Fix

* Fix

* Fix

* Fix

* Add layer_norm

* update

* Fix merge

* Clean some code

* update Readme

* upd

Co-authored-by: Ubuntu <ubuntu@ip-172-31-68-185.ec2.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-87-240.ec2.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>
2020-08-09 15:56:15 +08:00
xiang song(charlie.song) d6b4e286b6 RGCN minibatch using homogeneous graph. (#1745)
* minibatch rgcn

* minibatch based rgcn

* remove ogb

* lint

* Add sparse emb

* Fix

* Fix

Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-68-185.ec2.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-87-240.ec2.internal>
2020-07-07 00:26:10 +08:00
Minjie Wang 708765f0a1 [NN] RGCN modules (#744)
* 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
2019-08-23 16:38:48 -04:00
Zihao Ye ae1806f651 [Bugfix] RGCN tutorial (#388)
* fix rgcn tutorial

* small fix

* upd
2019-02-15 11:14:56 +08:00
Lingfan Yu b98dc92c59 [Model] Relational GCN (#55)
* data preprocessing for rgcn

* edge subgraph

* WIP: RGCN

* use edge feature in spmv

* fix bugs

* match AIFB accuracy

* match mutag accuracy

* avoid materializing in featureless case

* remove untouched nodes and relabel nodes

* fix python list concatenate overhead

* sparsely store edge types

* refactor entity classify code for clean link prediction implementation

* further refactor code

* refactoring

* rgcn block decompose layers

* link predict dataset

* link predict model and eval code

* dropout, self-loop, regularization, etc, plus bug fixes

* update to new api

* dataset update

* bugs, WIP, need to impl early stopping and filtered metrics

* instruction to run, and minor

* group conv and early stop

* clean slow code

* some code comments

* use new api in model code

* change data preprocessing

* entity classify model

* WIP

* move dgl graph out of model

* hot fix for extract zip

* fix link predict model

* use latest dgl apis

* still have memory issue...

* bug fix and move inference to cpu

* move rgcn data processing to contrib

* th.allclose -> U.allclose

* minor change in readme

* fix memory issue in entity classify

* fix and testing code for link predict

* fix entity classify

* clean up

* fix comments

* revert erroneous git merge changes

* code clean up and more comments

* minor

* dependent package version
2018-12-03 13:01:27 -05:00