704bcaf6dd
examples ( #5323 )
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Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal >
2023-02-19 08:35:15 +08:00
b84de903a2
GCN example correction ( #4969 ) ( #4976 )
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Correction like mentioned in #4969
I noticed that there is a normalisation step on line 97 while the normalised values are not used downstream. Even if this was meant to show the normalisation step, it would not be calculating the normalisation step described in the CGN paper. The paper considers both in and out degrees while the normalisation in the code only describes normalisation using the in degrees.
In the end, the normalised values are assigned to g.ndata["norm"] but these values are not used afterwards.
Having a normalisation step here is also unnecessary since the GraphConv layer that is used already takes care of the normalisation. https://docs.dgl.ai/en/0.9.x/_modules/dgl/nn/pytorch/conv/graphconv.html#GraphConv
It confused me for a second thinking that I had to do the normalisation myself but this is already handled by the GraphConf.
2022-12-05 10:00:57 +08:00
23d09057e3
[Misc] Black auto fix. ( #4642 )
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* [Misc] Black auto fix.
* sort
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal >
2022-09-26 21:47:11 +08:00
885be1784b
[Example][Refactor] Refactor GCN example ( #4160 )
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* Refactor GCN example
* Refactor GCN based on graphsage
* Readme update
* Minor update
* update
* Remove user-defined GCN implementation
* README update
* Update
* Update CONTRIBUTORS.md
* update task_example_test
Co-authored-by: Xin Yao <xiny@nvidia.com >
2022-07-05 15:58:31 +08:00
a6bd96aa96
Fix example crashes due to DGL API update ( #4194 )
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Co-authored-by: Xin Yao <xiny@nvidia.com >
2022-06-30 21:10:44 +08:00
cb2327d4a9
[Example] Fix error in gcn train due to missing argument ( #3040 )
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* Fix example
* Remove register_data_args and revert to dataset
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2021-06-23 15:50:07 +08:00
71283997ce
Integrate Regression Test with Jenkins ( #2448 )
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* 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
2021-01-11 16:01:51 +08:00
264d96cdf5
[bugfix] Fix a bunch of examples to be compatible with dgl 0.5 ( #1957 )
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* upd
* upd
* upd
* upd
* upd
* upd
* fix pinsage also
* upd
* upd
* upd
Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-3.us-east-2.compute.internal >
Co-authored-by: Quan Gan <coin2028@hotmail.com >
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
2020-08-08 01:31:23 +08:00
b347590a37
[Dataset] Citation graph ( #1902 )
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* citation graph
* GCN example use new citatoin dataset
* mxnet gat
* triger
* Fix
* Fix gat
* fix
* Fix tensorflow dgi
* Fix appnp, graphsage for mxnet
* fix monet and sgc for mxnet
* Fix tagcn
* update sgc, appnp
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal >
2020-08-01 19:25:50 +08:00
44089c8b4d
[Refactor][Graph] Merge DGLGraph and DGLHeteroGraph ( #1862 )
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* 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 >
2020-07-28 14:30:41 +08:00
1915fdb984
Make print of GCN example of mxnet and pytorch exact same. ( #994 )
2019-11-13 12:47:06 +08:00
fdd0fe651d
hotfix ( #971 )
2019-11-04 12:11:53 +08:00
82499e602b
[Bug Fix] Fix package reliability bug of networkx ( #949 )
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* 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
2019-10-29 23:34:31 -04:00
98c1448bfc
[Cleanup] Change Byte to Bool for training masks ( #954 )
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* Change Byte to Bool for training masks
* Check if module has Bool, otherwise use Byte
2019-10-29 17:14:08 -04:00
650f6ee1e0
[NN] Add commonly used GNN models from examples to dgl.nn modules. ( #748 )
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* 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
2019-08-27 18:21:19 +08:00
039a711da1
[Model] fix self-edge bug in GCN and GAT. ( #482 )
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* Update gcn_mp.py
* Update train.py
* Update train.py
* Update train.py
* Update gat_batch.py
* Update gat_batch.py
* Update gcn_mp.py
2019-04-10 09:04:19 -04:00
4ea42e3e08
fix gcn. ( #469 )
2019-04-05 10:56:09 -07:00
565f0c88fc
[WIP] [NN] Refactor NN package ( #406 )
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* 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
2019-02-25 18:41:21 -05:00
Hongzhi (Steve), Chen