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* 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

* mxnet gcn spmv

* update readme

* fix gcn

* pytorch gcn

* update readme

* [Doc] updated readme

* contribution guide change

* small edits

* add perf #

* Update README.md

* Update README.md

* add others...

* rewrite scalability

* model & code links

* some note for treelstm

* rewrite scalability

* fix all code tutorial links and typos in texts

* sse readme format

* fix

* sse paper link

* gat readme

* fix

* update example readme

* mx example readme

* add results in readme

* mx rgcn readme

* entity classify work for examples

* add loop_msg

* remove wrong assert

* remove one reshape

* add readme

* add MRR

* remove mrr from entity task

* return seed ids.

* fix tests.

* implement.

* fix.

* make it generic.

* add the API.

* fix.

* remove mxnet.

* update readme.

* update readme

* correct vid mapping API.

* fix sse.

* clean up pr-188 and resubmit

* address Da comments

* lazy eval edge ids.

* parallelize node id lookup.

* fix a bug.

* use mxnet for index.

* use update_all in the subgraph training.

* sample neighbors.

* Revert "parallelize node id lookup."

This reverts commit e661f69bb06cb5a7c246f0e106f245e27800e220.

* update README.

* cache subgraphs.

* support all degrees.

* cache adj in CPU.

* fix a bug in sse.

* print.

* raise error on mutable graphs.

* measure train time per epoch.

* fix a bug in graph_index.

* remove readonly in DGLSubGraph.

* cache subgraph properly.

* accelerate getting adjacency.

* split infer.

* lazy eval edges.

* specify inference mode.

* update for new sampler.

* use new mxnet sampling api.

* fix indent.

* remove profiling code.

* remove mxnet from sampler.

* return a lambda function for graph edges.

* add docs for immutable subgraph.

* Revert "return a lambda function for graph edges."

This reverts commit 0de5d7f100e230c518a3fb8976a6227f474d09ee.

* get parent_eid.

* add a test.

* move file.

* debug

* add degree normalization.

* it can converge now.

* remove hidden_data.

* use readonly graph index.

* use subgraph loader.

* refactor code and remove intermediate data.

* split inference.

* mix cpu and gpu training.

* fix mxnet sparse_matrix constructor.

* convert tensor context.

* set up the prediction model.

* load mxnet csr directly.

* add timing.

* move test_sse.py to sse_batch.py

* fix the tensor version of SSE.

* update README.

* add neighbor sampler.

* fix sampler.

* handle non-existing nodes differently in MapParentIdToSubgraphId.

* fix sampling tests.

* parallelize sampling.

* add more tests.

* fix a bug in subgraph loader.

* get number of sampled nodes directly.

* load mxnet CSR to DGLGraph directly.

* create graph from mxnet csr array directly.

* use subgraph loader in SSE.

* fix a bug in sampling.

* output framework tensor.

* fix.

* remove unnecessary code.

* fix tests.

* add SSE README.

* move to contrib.

* address comments.

* add tests.

* move gat to the new api.

* fix gcn.

* update sse.

* fix dgl core.

* update sse.

* fix small bugs in dgl core.

* fix mxnet tests.

* retrigger

* address comments and fix more bugs.

* fix

* fix tests.

* add immutable graph index.

* update ImmutableGraphIndex.

* add benchmarks of subgraph generation.

* fix node_subgraphs.

* use scipy synthetic data in immutable graph.

* create immutable_graph.

* use spmv in gcn.

* fix immutable graph index.

* update graph index.

* create ImmutableSubgraphIndex.

* return subgraph node and edge mapping.

* fix benchmark.

* add mapping to subgraph nid.

* test in_edges and out_edges.

* update benchmark.

* Fix immutable subgraph.

* complete in_edges and out_edges.

* fix benchmarks.

* add test on node_subgraphs

* add sse.

* construct subgraphs in parallel.

* add in/out degree(s).

* make immutable graph index backend-specific.

* implement has_edge(s) and edge_id(s).

* Revert "use spmv in gcn."

This reverts commit 9cfed5f5fb3dd2ed9b98745348b1c0e9731ed7f7.

* implement node_subgraphs in GraphIndex.

* fix sse.

* address comments.

* address comments.

* Update mxnet docker.

* support mxnet.

* add mxnet version of GCN.

* rename mxnet.nd as F.

* add mxnet GAT.

* enable GPU for GCN.

* fix MXNet GCN train.

* Use adam to optimize GAT

* support more operators.

* support sparse arrays.

* update mxnet backend.

* support index_copy.

* remove NN.

* update mxnet backend.

* temp check in.

* fix data conversion.

* add test.

* clean up mxnet backend.

* update mxnet examples.

* Revert "remove NN."

This reverts commit d815d9a0ec619f9ce9099c48cd35db9d8e947483.

* temp disable MXNet version of NN.