GitLab

* 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

* DGMG with batch size 1

* Fix

* Adjustment

* Fix

* Fix

* Fix

* Fix

* 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.

* 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.

[DOC][Model] Tree-LSTM example and tutorial

* 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

* add graphviz

* add examples in traversal.py

* message propagate methods

* use the new message propagation for tree-lstm

* update to the new name

* update propagate API doc

* update doc

* add propagate utest

* 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.

* tree_lstm (new interface)

* simplify pop

* bfs, dfs and topological traversal

* dfs and test cases

* Conflicts:
	python/dgl/graph.py
	src/graph/graph.cc
	src/graph/graph_op.cc

* documentation

* requested changes

* Conflicts:
	Jenkinsfile
	examples/pytorch/gcn/gcn.py
	examples/pytorch/gcn/gcn_spmv.py
	python/dgl/graph.py
	python/dgl/graph_index.py
	src/graph/graph.cc
	src/graph/graph_op.cc

* Conflicts:
	Jenkinsfile
	python/dgl/graph_index.py

* fix lint errors

* fix lint errors

* fix lint errors

* fix test cases

* requested changes

* traversal interface

* [Bug] fixed a typo that caused syntax error (#120)

* WIP

* bfs nodes generator works

* topological traversal

* WIP: dfs_edges

* dfs edges

* dfs labeled edges

* utest for traversal

* fix lint

* fix utest

* code clean

* changes as requested

* pretty printer

* Conflicts:
	python/dgl/data/sbm.py

* refined line_graph implementation

* fix broken api calls

* small fix to trigger CI

* requested change

* 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

1. Update `examples/pytorch/gcn` and `python/dgl/nn/pytorch` based on the latest APIs
2. Add full support for dropout in `examples/pytorch/gcn` and `python/dgl/nn/pytorch`
3. Rename `GCN` class in `python/dgl/nn/pytorch` to be `GraphConvolutionLayer` class
4. Make node field an argument that can be configured by users in GraphConvolutionLayer

Note that adjacency normalization has not been supported yet in the examples. 

* add capsule example

* clean code

* better naming

* better naming

* Clean Codes based on pytorch MNIST example

* Clean codes

* Add README

* add immutable graph index.

* update ImmutableGraphIndex.

* add benchmarks of subgraph generation.

* fix node_subgraphs.

* use scipy synthetic data in immutable graph.

* create immutable_graph.

* use spmv in gcn.

* fix immutable graph index.

* update graph index.

* create ImmutableSubgraphIndex.

* return subgraph node and edge mapping.

* fix benchmark.

* add mapping to subgraph nid.

* test in_edges and out_edges.

* update benchmark.

* Fix immutable subgraph.

* complete in_edges and out_edges.

* fix benchmarks.

* add test on node_subgraphs

* add sse.

* construct subgraphs in parallel.

* add in/out degree(s).

* make immutable graph index backend-specific.

* implement has_edge(s) and edge_id(s).

* Revert "use spmv in gcn."

This reverts commit 9cfed5f5fb3dd2ed9b98745348b1c0e9731ed7f7.

* implement node_subgraphs in GraphIndex.

* fix sse.

* address comments.

* address comments.

* Update mxnet docker.

* refactor frame codes

* fix unit test

* fix gcn example

* minor doc/message changes

* raise errors for non-exist columns in FrameRef; sanity check when append

* fix unittest; change error msg

* Add warning for none initializer

* fix unittest

* use warnings package

* 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.

* junction tree vae example

* added README and moved data to dropbox

* auto download; some fix in python3

* 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