GitLab

* 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

* cherry picking optimization from jtnn

* unbatch by slicing frames

* reduce pack

* oops

* support frame read/write with slices

* reverting to unbatch by splitting; slicing is unfriendly to backward

* replacing lru cache with static object factory

* replacing Scheme object with namedtuple

* remove comment

* forgot the find edges interface

* subclassing namedtuple

* Fix

1. Fix two typos in gcn.py and gcn_spmv.py
2. Update README

* Fix GCN module

1. Update the outdated graph convolution layer class
2. Fix a bug in the code where dropout never works. Modules like dropout/batch norm depend on whether we are in the training stage or inference stage.

* Fix a bug in dropout

1. dropout depends on nn.Module.training

* Update GCN module

* Fix README

* Fix dropout & remove self.msg_field

* Fix

* Align with TF implementation

* Make g an argument for forward

* Remove features from the argument of GraphConv layer

* Support for create nodes/edges after setting representations

* Remove redundant commit

* Delete test_init_repr.py

* Test case for dynamic addition

* Base 'add_rows' upon 'append'

* Move test function

* Fix

* test by assertion

* changed add_rows to adding blank rows only; adding convert_to to backend

* moving test to basics

* oops mxnet

* 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.

* fixing networkx conversion with 0 edges

* fixes as required

* remove obsolete comment

* 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

* update mxnet.

* add get_tvmtype.

* remove undefined test.

* 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

[Hotfix] Revert part of the send logic; disable the send twice test case; GCN on GPU works again. (#88)

* multigraph support on graph index

* more tests

* multigraph flag, bugfix on clear & copy

* networkx interfaces

* including graph index tests in Jenkins

* node subgraph test

* edge subgraphs

* removing duplicates in pred/succ

* more explicit test and doc

* query source and destination from edge id

* subgraphindex

* renaming has_edge to has_edge_between, apply_edges adding eid

* send_on and send_and_recv_on

* DGLGraph edge subgraph

* merged send_on and send_and_recv_on

* change request

* removing hashmap

* creating multigraph by flag; mingw support

* changes per request

* reverting networkx auto multigraph discovery

* notes on send/send_and_recv on multigraphs

* changing test reducer from sum to max

* added a fixme note in spmv scheduler

* node/edge filtering

* changing to tensor operations (what did i do???)

* ???

* 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.

* Test CPP branch CI (#2)

* Fix batching node-only graphs (#62)

* fixing batching with graphs with no edges

* oops forgot test

* fix readme

* Docker and Jenkins (#1)

* docker ci cpu

* install python packages

* docker ci gpu

* add readme

* use dgl cpu image

* run command in container as root

* use python3

* fix test case

* remove nose from docker file

* docker folder readme

* parallelize cpu and gpu

* top level stages

* comment out python2 related installation

* fix

* remove igraph

* building for cpp

* change building order

* export env in test stage

* withEnv

* run docker container as root

* fix test cases

* fix test cases

* minor

* remove old build

* update subgraph.

* update subgraph API.

* keep node embedding.

* 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