GitLab

* add index.

* update.

* update tutorial.

* add sampling tutorial.

* add readme

* update author list.

* fix indent in the code.

* rename the file.

* update tutorial.

* fix the last API.

* update image.

* reorganize sampling code.

* add multi-process training.

* speed up gcn_cv

* fix graphsage_cv.

* add new API in graph store.

* update barrier impl.

* support both local and distributed training.

* fix multiprocess train.

* fix.

* fix barrier.

* add script for loading data.

* multiprocessing sampling.

* accel training.

* replace pull with spmv for speedup.

* nodeflow copy from parent with context.

* enable GPU.

* fix a bug in graph store.

* enable multi-GPU training.

* fix lint.

* add comments.

* rename to run_store_server.py

* fix gcn_cv.

* fix a minor bug in sampler.

* handle error better in graph store.

* improve graphsage_cv for distributed mode.

* update README.

* fix.

* update.

* fix.

* Change to required=True

* Update description

* Change back

* Update 9_gat.py

* Update 1_gcn.py

* Change Distributed Sampler API

* fix lint

* fix lint

* update demo

* update

* update

* update

* update demo

* update demo

* [Model] Add edge dropout to APPNP

[Model] Add edge dropout to APPNP

* [Model] Refactor the sampling examples (#498)

* reorganize sampling code.

* speedup gcn_ns.

* speed up gcn_cv

* fix graphsage_cv.

* undo the modification.

* accel training.

* update readme.

* [Model] Add edge dropout to APPNP

[Model] Add edge dropout to APPNP

update

* reorganize sampling code.

* speedup gcn_ns.

* speed up gcn_cv

* fix graphsage_cv.

* undo the modification.

* accel training.

* update readme.

* add gin model

* convert dataset.py to data_ont_the_fly way and put it into dgl.data module

* convert dataset.py to data_ont_the_fly way and put it into dgl.data module
python code checked

* modified document and reference TUDataset; checked python part and bypass cpp part due to error

* change tensor to numpy in dataset and transform in collate@Dataloader

* Change minor format issue

Change minor format issue

* moved logging; adjusted tqdm etc

* disable tests.

* import unittest.

* Refactoring network API

* update demo

* update

* update demo

* update demo

* add num_sender

* update

* fix lint

* fix lint

* fix lint

* update

* add graph classification dataset

* add node label

* add TUDataset

* Modify to consistent with Qi Huang's implementation

* add docs

* Add docs

* Fix change of environment variable

* Update tu.py

* Update tu.py

* Fix error when add node with np.int64

* Fix processing bug

* add graph classification dataset

* add node label

* add TUDataset

* Modify to consistent with Qi Huang's implementation

* add docs

* Add docs

* Fix change of environment variable

* Update tu.py

* Update tu.py

* Fix error when add node with np.int64

* 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

* [Model] Add APPNP model

* update

* Revert "update"

This reverts commit a8e42d19c8b421fb382305a8f04d7426e78ea53c.

* update

* Update appnp.py

* accelerate gcn_ns.

* add timing.

* run infer with whole graph.

* distributed gcn_ns.

* reconstruct gcn_ns.

* minor fix.

* change graphsage_cv for numa.

* fix #OMP threads.

* accelerate graphsage_cv.

* fix a weird bug.

* add profiler in graphsage_cv.

* accelerate graphsage_cv.

manually aggregate neighbors' embeddings with pull.

* load csr directly in gcn_ns_sc.

* parallel sort for graph index.

* Revert "parallel sort for graph index."

This reverts commit 86fe2c7117fe5e56b0d481b39849c258b166945b.

* run gcn_ns_sc on GPUs.

* acc gcn_cv_sc.

* change gcn_cv for numa.

* fix gcn_cv to use numa and gpu.

* improve graphsage_cv to use numa and gpu.

* improve gcn_ns.

* improve graphsage_cv.

* init shared memory graph store.

* fix.

* enable init ndata.

* improve tests.

* add bidirectional communication.

* link to rt.

* fix compilation error.

* fix shared memory init.

* use MessageQueue for inter-process communication.

* reconstruct immutable graph csr.

* fix gcn.

* load csr to shared memory.

* fix minor bugs.

* add comments.

* refactor SharedMemory.

* fix bugs in ImmutableGraph.

* create CSR graph from shared memory.

* add more test for loading a csr graph.

* terminate graph store properly.

* allow initializing ndata in the graph store server.

* use RPC for inter-process communication.

* a script for loading a graph.

* allow customizing port.

* list all ndata and edata.

* support dtype.

* reorganize SharedMemoryGraphStore.

* fix ndata shape.

* reconstruct gcn_ns.

* print info.

* set omp in gcn_ns.

* reset sampling examples.

* fix lint.

* fix lint.

* reset gcn.

* disable shared memory in windows.

* fix.

* fix.

* reset changes.

* revert nodeflow changes.

* fix cmake.

* fix test.

* fix test.

* fix test.

* fix test.

* add comments.

* fix test.

* move vector out.

* fix lint.

* fix lint.

* move SharedMemory.

* update cmake.

* update comment.

* fix comments.

* Revert "update cmake."

This reverts commit 592445e37077f70a6e3f2e5245f9a3d086b04f3b.

* update cmake.

* add comments.

* rename.

* change the comment.

* fix a bug.

* rename.

* add comments.

* add comments.

* add init_edata.

* rewrite memory alloc.

* move vector to CSR.

* fix.

* init data.

* Revert "init data."

This reverts commit 2b217b9553911b7dd84a9f1d9b68430b5aa18e23.

* init data.

* init new columns correctly.

* update inner API of distributed sampler

* update

* add C++ rpc infrastructure and distributed sampler

* update

* update lint

* update lint

* update lint

* update

* update

* update

* updare

* update

* update

* update

* update serialize and unittest

* update serialize

* lint

* update

* update

* update

* update

* update

* update

* update unittest

* put Finalize() to __del__

* update unittest

* update

* delete buffer in Finalize

* update unittest

* update unittest

* update unittest

* update unittest

* update

* update

* fix small bug

* windows socket impl

* update API

* fix bug in serialize

* fix bug in serialzie

* set parent graph

* update

* update

* update

* update

* update

* update

* fix lint

* fix lint

* fix

* fix windows compilation error

* fix windows error

* change API to lower-case

* update test

* fix typo

* update

* add SamplerPool

* add SamplerPool

* update

* update test

* update

* update

* update

* update

* add example

* update

* update

* add distributed sampler demo

* add index

* update demo of distributed sampler

* fix lower-case

* print subg index

* update README.md

* update

* remove --gpu args

* fix docs remote instead of remove

* Update CONTRIBUTORS.md

* add C++ rpc infrastructure and distributed sampler

* update

* update lint

* update lint

* update lint

* update

* update

* update

* updare

* update

* update

* update

* update serialize and unittest

* update serialize

* lint

* update

* update

* update

* update

* update

* update

* update unittest

* put Finalize() to __del__

* update unittest

* update

* delete buffer in Finalize

* update unittest

* update unittest

* update unittest

* update unittest

* update

* update

* fix small bug

* windows socket impl

* update API

* fix bug in serialize

* fix bug in serialzie

* set parent graph

* update

* update

* update

* update

* update

* update

* fix lint

* fix lint

* fix

* fix windows compilation error

* fix windows error

* change API to lower-case

* update test

* fix typo

* update

* add SamplerPool

* add SamplerPool

* update

* update test

* update

* update

* update

* update

* add example

* update

* update

* random walk traces generation

* remove outdated comments

* oops put in the wrong place

* explicit inline

* moving rand_r to util

* pinsage-like model on movielens

* the code runs now

* support cuda

* using readonly graph

* moving random walk to public function

* per-thread seed and openmp support

* pinsage-like model on movielens

* the code runs now

* support cuda

* using readonly graph

* using C random walk

* removing profile decorators

* param initialization

* no grad

* leaky relu fixes everything

* train and save

* WIP

* WIP

* WIP

* seems to work

* evaluation output

* swapping order of val/test and train

* debug

* hyperparam tuning

* prior/training dataset split changes

* random walk reorg

* random walk with restart

* signed comparison fix

* migrating random walk to nodeflow

* Revert "migrating random walk to nodeflow"

This reverts commit f2565347cced7c912a58a529b257c033d9f375b7.

* add README and remove dataset

* new endpoint

* lint

* lint x2

* oops forgot test

* including bpr - better for baseline

* addressing fixes

* throwing random walks out from SamplerOp class

* forgot to move RandomWalk; why did this even work?

* removing legacy garbage

* add todo

* address comments

* stupid bug fix

* call ndarrayvector converter to handle traces

* forgot prefetch switch

* yet another stupid bug

* fix bug in pickling

* fix lint

* fix performance bug in EdgeSoftmax

* minor

* refactored sampler code

* docstring

* fix tutorial

* fix send with builtin bug

* test cases

* remove todo comment

* fix rgcn tutorial

* small fix

* upd

* findedge/s

* upd

* upd

* upd

* upd

* add test

* remove redundancy

* upd

* upd

* upd

* upd

* add edge_subgraph

* explicit cast

* add test immutable subg

* reformat

* reformat

* fix bug

* upd

* hotfix

* subgraph docs

* fix adj mat

* fix edges() order

* add test

* revert

* upd

* fix

* upd