GitLab

* junction tree vae example

* added README and moved data to dropbox

* auto download; some fix in python3

* fixing batching with graphs with no edges

* oops forgot test

* support multiple fields in spmv

* finishing SPMV executor

* non-spmv case

* refactor code to give single mfunc rfunc a shortcut

* two test cases to test multiple msg/red func

* catching cases where msg uses anonymous field

* default ALL for update edge

* more corner case test

* print failed test

* delete print

* fix builtin max reducer

* 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

* fix dgl.batch edge ordering bug

* add graph batching test cases

* fix partial spmv ctx.

* add dataset generating for dgmg

* 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

* model code for generative graphs

* batched version for dynamic graph generation using padding

* renaming function train back to forward

* remove old util function for padding DGMG

* override networkx clear to reset state, add dgl.nn

* Dynamic graph without batching

* use relative import path

* load dataset, pad batch

* bug fix

* experimental batch and unbatch

* dgmg batched version

* minor tweak

* move preprocessing padding into data loading

* batch graph test code

* minor

* batched graph class and test cases

* make dgl.nn.gcn a simple layer plus minor fix

* update dgmg model

* test forward using attribute field

* use frame append, minor changes

* moving networkx operations out of forward

* revert some changes

* remove structural immutability check

* partial spmv impl and test

* some fix for update edge

* GAT model

* fix output projection to have only one head

* synthetic dataset

* some fix

* gcn readme

* 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

* jenkins init

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* test succ (#1)

* test succ

* test fail

* fix fail

* fix jenkins

* icon

* icon

* icon

Correctly handling lstm model creation

* Change ; fix corner cases in issue20

* Change recvfrom to recv

* Remove name args in register/sendto/update_edge/recvfrom

* Support anonymous repr

* Test anonymous edge repr

* Test node states with both anonymous and explicit reprs

cleaning and documentation

Initial example file for ginipath

* add reduce_msg related api to dgl graph

* add reduce_sum, switch backend from numpy to pytorch

* update gat gcn to use reduce msg api

* remove reduce_sum

* add built-in reduce functions

* cdgnn example & minor fixes in dgl/graph.py

* incomplete TreeLSTM

* add data preprocess of SST

* fix nx_SST.py

* TreeLSTM completed

Example GCN and GAT model