GitLab

* enable tutorial test in CI.

* extand DGLGraph graph_data.

* update doc.

* Revert "enable tutorial test in CI."

This reverts commit cd774067180922bb6ae979bde4aecbffc61c8147.

* accept DGLGraph in graph store.

* add tests.

* distinguish layer-local nid and nodeflow nid.

* use numpy assert_array_equal and assert_allclose

* fix map_from_parent_nid

* fix test

* fix test.

* renmae remap.

* update doc.

* update doc.

* update doc.

* fix test.

* fix test.

* all pytorch examples

* scan through mxnet examples

* change reddit data

* tweak numerical range for unittest

* fix ci

* fix ci

* fix

* add seed to workaround

* fix gat code to use latest edge softmax module

* avoid transpose

* update README

* use edge_softmax op

* mxnet edge softmax op

* mxnet gat

* update README

* fix unittest

* fix ci

* fix mxnet nn test; relax criteria for prod reducer

* to simple

* WIP: multigraph flag

* graph index refactor; pass basic testing

* graph index refactor; pass basic testing

* fix bug in to_simple; pass torch test

* fix mx utest

* fix example

* fix lint

* fix ci

* poke ci

* poke ci

* WIP

* poke ci

* poke ci

* poke ci

* change ci workspace

* poke ci

* poke ci

* poke ci

* poke ci

* delete ci

* use enum for multigraph flag

* Update README.md for the demo of distributed sampler

* Update README.MD of demo for distributed sampler

* update

* update

* update demo

* load mxnet csr.

* enable load large csr.

* fix

* fix.

* fix int overflow.

* fix test.

* fix.

* use inplace.

* move to shared memory graph store.

* fix.

* add more unit tests.

* fix.

* fix test.

* fix test.

* disable test.

* fix.

* update

* update

* re-use single-machine code

* update

* use relative path

* update

* update

* update

* add __init__.py

* add __init__.py

* import sys, os

* fix typo

* update

* update

* update

* update

* update num_hops

* fix bug

* update

* report numbers of distributed training in AMLC giant graph paper

* add init_ndata and init_edata in DGLGraph.

* adjust SharedMemoryGraph API.

* print warning.

* fix comment.

* update example

* fix.

* fix examples.

* add unit tests.

* add comments.

* fix.

* add comment.

* remove.

* temp fix.

* initialize for shared memory.

* fix graphsage.

* fix gcn.

* add more unit tests.

* add more tests.

* avoid creating shared-memory exclusively.

* redefine remote initializer.

* improve initializer.

* fix unit test.

* fix lint.

* fix lint.

* initialize data in the graph store server properly.

* fix test.

* fix test.

* fix test.

* small fix.

* add comments.

* cleanup server.

* test graph store with a random port.

* print.

* print to stderr.

* test1

* test2

* remove comment.

* adjust the initializer signature.

* 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.

* Change Distributed Sampler API

* fix lint

* fix lint

* update demo

* update

* update

* update

* update demo

* update demo

* reorganize sampling code.

* speedup gcn_ns.

* speed up gcn_cv

* fix graphsage_cv.

* undo the modification.

* accel training.

* update readme.

* Refactoring network API

* update demo

* update

* update demo

* update demo

* add num_sender

* update

* fix lint

* fix lint

* fix lint

* update

* 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

* 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

* enable cython

* add helper function and data structure for void_p vector return

* move sampler from graph index to contrib.sampling

* WIP

* WIP

* refactor layer sampling

* pass tests

* fix lint

* fix graphsage

* remove comments

* pickle test

* fix comments

* update dev guide for cython build

* don't return aux_info.

* fix sampler test.

* fix sse.

* fix.

* add comment.

* neighbor sampling draft

* val/test acc

* control variate draft

* control variate

* update

* fix new_history

* maintain aggregated history while updating new history

* preprocess the first layer, change push to pull

* update

* fix subg_degree

* nodeflow

* clear

* readme

* doc and unittest for self loop

* address comments

* rename

* update

* fix

* Update node_flow.py

* Update node_flow.py

* 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

* sample layer subgraphs.

* fix.

* fix.

* add layered subgraph.

* fix lint.

* fix.

* fix tutorial.

* fix.

* remove copy_to_parent.

* add num_layers

* move sampling code to sampler.cc

* fix.

* move subgraph construction out.

* Revert "move subgraph construction out."

This reverts commit 24b3d13b0d8ed5f91847ea75a7674ee8f7d45cff.

* change to NodeFlow.

* use NodeFlow in Python.

* use NodeFlowIndex.

* add node_mapping and edge_mapping.

* remove unnecessary code in SSE tutorial.

* Revert "remove unnecessary code in SSE tutorial."

This reverts commit 093f0413d5fa2e63ca5f80c46c80a126a9fb720c.

* fix tutorial.

* move to node_flow.

* update gcn cv updater.

* import NodeFlow.

* update.

* add demo code for vanilla control variate sampler.

* update.

* update.

* add neighbor sampling.

* return flow offsets.

* update node_flow.

* add test.

* fix sampler.

* fix graph index.

* fix a bug in sampler.

* fix map_to_layer_nid and map_to_flow_eid.

* fix apply_flow.

* remove model code.

* implement flow_compute.

* fix a bug.

* reverse the csr physically.

* add mini-batch test.

* add mini batch test.

* update flow_compute.

* add prop_flows

* run on specific nodes.

* test copy

* fix a bug in creating frame in NodeFlow.

* add init gcn_cv_updater.

* fix a minor bug.

* fix gcn_cv_updater.

* fix a bug.

* fix a bug in NodeFlow.

* use new h in gcn_cv_updater.

* add layer_in_degree and layer_out_degree.

* fix gcn_cv_updater for gpu.

* temp fix in NodeFlow for diff context.

* allow enabling/disabling copy back.

* add with-updater option.

* fix a bug in computing degree.

* add with-cv option.

* rename and add comments.

* fix lint complain.

* fix lint.

* avoid assert.

* remove assert.

* fix.

* fix.

* fix.

* fix.

* fix the methods in NodeFlow.

* fix lint.

* update SSE.

* remove gcn_cv_updater.

* correct comments for the schedulers.

* update comment.

* add map_to_nodeflow_nid

* address comment.

* remove duplicated test.

* fix int.

* fix comments.

* fix lint

* fix.

* replace subgraph with NodeFlow.

* move view.

* address comments.

* fix lint.

* fix lint.

* remove static_cast.

* fix docstring.

* fix comments.

* break SampleSubgraph.

* move neighbor sampling to sampler.cc

* fix comments.

* rename.

* split neighbor_list.

* address comments.

* fix.

* remove TODO.

* Update prerequisites of README

* dependencies for pytorch models

* dependencies for mxnet models

* minor

* update readme.

* Revert "update readme."

This reverts commit cd5ea512059adadfcb22a615a2c42bba12f334a8.

* update.

* 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

* two better GAT implementations

* update numbers

* use version switch for spmm

* add missing dropout and output heads

* TreeLSTM MXNet example

* hybridize

* add glove download

* usability

* Update README.md

* mxgat

* pygat

* Update gat_batch.py

* add train

* Update gat_batch.py

* Update gat.py

* Update gat_batch.py

* readme

* Update and rename README to README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* fix gat.

* fix context.

* fix SSE.

* fix.

* fix.

* add cache to adj and incmat

* Fix bug in cached adj/inc

* mx gcn spmv runnable; acc debugging...

* fix bug in mx gcn that loss is not correctly calculated

* fix mx utest

* fix as requested

* use raw parameter tensors rather than dense layer

* fix dropout

* Add numbers in readme