GitLab

* WIP

* new at glance

* fix dgmg tutorial indentation

* bug in incidence_matrix docstring

* remove print

* rgcn tutorial

* data processing for rgcn

* many fix

* requirements for rgcn tutorial

* fix comments

* description of rgcn dataset

* author

* bug fix

* move all dataset to s3

* update dgl at a glance

* update title

* Update 1_first.py

* poke ci

* poke again

* force download data everytime

* move file from dropbox to s3

* fix ci and move sst to s3

* remove blank line

* change the signature of node/edge filter

* upd filter

* Support multi-dimension node feature in SPMV

* stable version

* hotfix

* upd tutorial

* upd README

* Fix dataset

* Track data APIs

* Docstring for udf

* Track udf docs

* Improve

* Improved

* Delete udf.py

* Improve

* Update doc

* Update batched_graph.py

* Fix

* Fix

* Fix

* Fix

* fix memory leak & Remove unnecessary initializer

* change confused name

* fix name

* Move func outside loop

* fix name inconsistency

* conda recipe

* switching to source build

* trying windows build

* wip

* windows build works

* DGMG with batch size 1

* Fix

* Adjustment

* Fix

* Fix

* Fix

* Fix

* Fix has_node and __contains__

* Batched implementation for DGMG

* Remove redundant dependency

* Adjustment

* Fix

* Add comments

* [Model]SBM hotfix

* [Model] remove backend in data

* add bdist_wheel build

* fix wheel build

* fix setup

* fix ci

* fix setup

* fix

* fix setup

* poke ci

* fix

* poke ci

* clean build

* fix ci

* addback the env

* Support multi-dimension node feature in SPMV

* fix as requested

* fix recv nodes are all 0deg; fix hybriddict does not through keyerror properly

* fallback to apply_nodes when all nodes are 0deg; WIP on pull spmv 0deg

* new 0deg behavior

* new 0deg behavior

* update mx utest for pull-0deg

* fix mx

* fix mx

* get rid of unnecessary sort-n-unique

* change the signature of node/edge filter

* upd filter

* executor api

* draft executor interface

* WIP

* revert changes to avoid conflict with api change

* core scheduling logic

* WIP: build graph adj

* incidence matrix for in edges

* support incidence matrix for partial recv nodes

* improve

* build adjmat in scheduler

* graph store

* get degree bucketing schedule

* connect to c++ degree bucketing

* conceptual executor creation code

* executor comments

* fix

* more executor comments

* WIP: full send_and_recv schedule

* most schedulers

* simplify scheduler

* executors

* runtime

* builtin function base class

* adj indices and shape

* completely refactor scheduler

* rename and move bundled out to function.py

* use_edge_feature in msg func

* rewrite scheduler

* node edge executor

* connect with graph api

* handle zero degree

* misc

* fix test cases

* fix a good many bugs...

* remove old scheduler

* push and pull

* fix send recv

* c++ lint

* fix batched send recv

* hot fix for mxnet

* typo

* write back executor

* apply node edge

* clean up, doc string

* fix as requested

* refactor

* fix

* WIP

* WIP

* ir draft

* more on ir

* WIP: spmv schedule

* WIP

* recv schedule

* refactor

* WIP

* snr degree bucketing

* snr scheduler

* move prog to graph.py; rename

* unittest for send/recv

* remove some legacy codes

* WIP: update_all

* pass test_basics

* passed all current utests

* more utests; fix mx utest

* WIP: fixing zero deg initial value

* some tests

* fix 0deg problem

* fix mx

* fix mx

* some notes

* fix as requested

* DGMG with batch size 1

* Fix

* Adjustment

* Fix

* Fix

* Fix

* Fix

* move initializer to column scheme; change num rows behavior

* poke mx ci

* fix mx utest in append

* fix bug in add edges

* utest for updating partial rows

* fix bug in from_networkx and from_scipy_matrix

* revert per-col initializer change

* fix pickle utest

* add spmv tests on mxnet.

* test backward.

* add tests for pull.

* use mxnet backend.

* address comment.

* add comments.

* 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.

addresses issue #156

* minor fix

* jake's change

* pickling support

* resorting to suggested way of pickling

* custom attribute pickling check

* working around a weird pytorch pickling bug

* including partial frame case

* pickling everything now

* fix as requested

* update tree lstm

* tree_lstm (new interface)

* simplify pop

* merge qipeng(root)

* upd tree-lstm & tutorial

* upd model

* new capsule tutorial

* capsule for new API

* fix deprecated API

* New tutorial and example

* investigate gc problem

* add viz code

* new capsule tutorial

* remove ipynb

* move u_hat

* add link

* add requirements.txt

* remove ani.save

* update ci to install requirements

* utf-8

* change seed

* graphviz requirement

* accelerate

* little format

* update some markup

* 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.