GitLab

* 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

* 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

* 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 SH tutorials

* setup sphinx-gallery; work on graph tutorial

* draft dglgraph tutorial

* update readme to include document url

* rm obsolete file

* Draft the message passing tutorial

* Capsule code (#102)

* add capsule example

* clean code

* better naming

* better naming

* [GCN]tutorial scaffold

* fix capsule example code

* remove previous capsule example code

* graph struc edit

* modified:   2_graph.py

* update doc of capsule

* update capsule docs

* update capsule docs

* add msg passing prime

* GCN-GAT tutorial Section 1 and 2

* comment for API improvement

* section 3

* Tutorial API change (#115)

* change the API as discusses; toy example

* enable the new set/get syntax

* fixed pytorch utest

* fixed gcn example

* fixed gat example

* fixed mx utests

* fix mx utest

* delete apply edges; add utest for update_edges

* small change on toy example

* fix utest

* fix out in degrees bug

* update pagerank example and add it to CI

* add delitem for dataview

* make edges() return form that is compatible with send/update_edges etc

* fix index bug when the given data is one-int-tensor

* fix doc

* fix tests.

* enable mxnet CI.

* add mxnet tests.

* update jenkins.

* update mxnet docker image.

* update mxnet.

* add get_tvmtype.

* remove undefined test.

* 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.

* WIP: API renaming

* API rewrite and node function refactor

* builtin functions

* builtin functions tested

* fix test

* send and recv spmv test

* WIP: fix examples

* Fix examples using new APIs

* WIP

* WIP

* treelstm dataloader

* Main training loop.

* trainable treelstm script

* fix dependency

* cuda training

* Add tensorized topological traversal

* allowing update_to() with no incoming messages

* fixing partial cases

* fixing 0 degree reduces

* adopting accum=None semantics

* minor fix as per reviews

* TODO in test

* fix test

* subgraph copy from

* WIP

* cached members

* Change all usage of id tensor to the new Index object; remove set device in DGLGraph;

* subgraph merge API tested

* add dict type reduced msg test

* subgraph

* more test cases

* WIP

* new FrameRef and test

* separate nx init code

* WIP

* subgraph code and test

* line graph code and test

* adding new test for adding new features on line graphs

* no backtracking line graph

* fix inplace relabel

* fix edge list order problem in cached graph.

* minor fix

* fix bug in edge iter

* SPMV works

* gcn spmv on CPU

* change gcn style

* fix cached graph performance; fixed gcn dataset bug

* reorg dir

* non-batch spmv; partial update problem with shape change

* fix reorder problem; finish gcn-batch impl

* pop API

* GPU context

* batch message_func, reduce_func and update_func

Conflicts:
	python/dgl/backend/pytorch.py

* test cases for batching

Conflicts:
	python/dgl/graph.py

* resolve conflicts

* setter/getter

Conflicts:
	python/dgl/graph.py

* test setter/getter

Conflicts:
	python/dgl/graph.py

* merge DGLGraph and DGLBGraph

Conflicts:
	python/dgl/graph.py

Conflicts:
	python/dgl/graph.py

* batchability test

Conflicts:
	python/dgl/graph.py

Conflicts:
	python/dgl/graph.py

* New interface (draft)

Conflicts:
	_reference/gat_mx.py
	_reference/molecular-gcn.py
	_reference/molecular-gcn_mx.py
	_reference/multi-gcn.py
	_reference/multi-gcn_mx.py
	_reference/mx.py
	python/dgl/graph.py

* Batch operations on graph

Conflicts:
	.gitignore
	python/dgl/backend/__init__.py
	python/dgl/backend/numpy.py
	python/dgl/graph.py

* sendto

* storage

* NodeDict

* DGLFrame/DGLArray

* scaffold code for graph.py

* clean up files; initial frame code

* basic frame tests using pytorch

* frame autograd test passed

* fix non-batched tests

* initial code for cached graph; tested

* batch sendto

* batch recv

* update routines

* update all

* anonymous repr batching

* specialize test

* igraph dep

* fix

* fix

* fix

* fix

* fix

* clean some files

* batch setter and getter

* fix utests