GitLab

* 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

* 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

Correctly handling lstm model creation

* Change ; fix corner cases in issue20

* Change recvfrom to recv

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