GitLab

* 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.

* fix tests.

* enable mxnet CI.

* add mxnet tests.

* update jenkins.

* update mxnet docker image.

[Doc] fixed installation document

Doc

* setup sphinx-gallery; work on graph tutorial

* draft dglgraph tutorial

* update readme to include document url

* rm obsolete file

* Draft the message passing tutorial

Doc

Sync with upstream

To fix the compiler error on Mac OSX:

/dgl/src/c_api_common.cc:27:16: error: conversion from 'tvm::runtime::TVMArgValue' to 'size_t' (aka 'unsigned long') is ambiguous
        size_t which = args[0];

* fixing networkx conversion with 0 edges

* fixes as required

* remove obsolete comment

Sync with latest commit

[GraphIndex] Graph index and many related changes

* CI for lint check

* init submodule before run lint

* install ubuntu core for lint docker

* remove generator import in dgl

* gcn example test code

* GPU test

* use python3

* use functions

* gpu test use functions

* remove root

* use one script to run both cpu and gpu tests

* create synthetic data with scipy.

* changes as comments

* update mxnet.

* add get_tvmtype.

* remove undefined test.