GitLab

* 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

* 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

* 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

* Change ; fix corner cases in issue20

* Change recvfrom to recv