8c213ef122
[Feature] Enable bfloat16 convert functions in Python API ( #5760 )
2023-07-31 18:09:32 +08:00
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
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
6e1be69a84
[Example][Refactor] Refactor GAT example ( #4240 )
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* Refactor gat example
* Add ppi support
* Minor update
* Update
* Update
* Change valid_xxx to val_xxx
* Readme Update
* Update
Co-authored-by: Mufei Li <mufeili1996@gmail.com >
2022-07-22 16:48:46 +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
6de7d5faa7
[Bugfix] Fix conditional judgment of cuda ( #4026 ) ( #4027 )
2022-05-20 11:01:03 +08:00
ae7e3db631
fix bugs in gat training script ( #3505 )
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Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
Co-authored-by: Zihao Ye <expye@outlook.com >
2022-04-29 17:53:00 +08:00
6752bd4515
[Example] layers number fix in GAT example ( #3872 )
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* gat layers fix
* minor bug
Co-authored-by: decoherencer <decoherencer@users.noreply.github.com >
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2022-03-26 15:02:16 +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
fdc58a8996
[Hotfix] Fix GAT example and clarify the usage of early stop ( #1065 )
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* upd
* rm redundancy:
* upd
2019-11-30 23:43:15 +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
0f12763725
[Model] Early stop GAT ( #750 )
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* Add early stop
* add mxnet version
* Poke ci
2019-08-21 14:58:56 +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
788d8dd4ad
[Model]PPI dataloader and inductive learning script. ( #395 )
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* Create ppi.py
* Create train_ppi.py
* Update train_ppi.py
* Update train_ppi.py
* Create gat.py
* Update train.py
* Update train_ppi.py
* Update ppi.py
* Update train_ppi.py
* Update ppi.py
* Update train_ppi.py
* Update train_ppi.py
* Update ppi.py
* Update train_ppi.py
* update docs and readme
2019-02-17 16:41:30 -05:00
91b7382378
[Model] update gat ( #390 )
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* update gat: add minus max for softmax
* small fix
2019-02-13 14:53:41 -05:00
ddc2faa547
[Bugfix] Fix gat residual bug ( #355 )
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* fix gat residual bug
* fix the residual addition; output heads; add some shape notations;
* minor
* fix the output head average
* add requests package in requirement
2019-01-12 08:37:01 -05:00
efae0f97d8
[Model] Improve GAT models ( #348 )
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* two better GAT implementations
* update numbers
* use version switch for spmm
* add missing dropout and output heads
2019-01-11 02:02:06 -05:00
Ilia Taraban