* test basics
* batched graph & filter, mxnet filter fix
* frame and function; bugfix
* test graph adj and inc matrices
* fixing start = 0 for mxnet
* test index
* inplace update & line graph
* multi send recv
* more tests
* oops
* more tests
* removing old test files; readonly graphs for mxnet still kept
* modifying test scripts
* adding a placeholder for pytorch to reserve directory
* torch 0.4.1 compat fixes
* moving backend out of compute to avoid nose detection
* tests guide
* mx sparse-to-dense/sparse-to-numpy is buggy
* oops
* contribution guide for unit tests
* printing incmat
* printing dlpack
* small push
* typo
* fixing duplicate entries that causes undefined behavior
* move equal comparison to backend
* fix lint for graph_index.py
* pylint for base.py
* pylint for batched_graph.py
* pylint for frame.py; simplify and fix bugs in frame when index is slice type
* pylint for graph.py
* pylint for immutable_graph_index.py
* pylint for init.py
* pylint for rest files in root package
* pylint for _ffi package
* pylint for function package
* pylint for runtime package
* pylint for runtime.ir package
* add pylint to ci
* fix mx tests
* fix lint errors
* fix ci
* fix as requested
* fix lint
* fix bug: frame append should check itself
* more test case
* fix multi-send-recv bug
* remv msg graph and clean up
* test cases
* more test case
* fix for batchedgraph
* fix bugs: converting from a graph with edges
* fix
* add more operators to utils.Index
* clear frame executor
* change message indicator to a graph level index
* fix test cases
* guard the case that mxnet does not support concat zero shape tensor
* fix bug: avoid convert full slice to numpy
* test multi-send-recv after conversion
* fix as request (partially)
* add dtype, ctx to full_1d
* add slice data to utils.Index
* fix
* more doc string
* fix as requested
* Jenkins build & test on Windows
* oops
* still running nohup on Windows slaves
* ooops again
* squishing vcvars and cmake
* another try
* reverting back
* --user
* switching to msbuild
* made the graph size in cache testing bigger
* put commands into script files
* oooops
* add cache to adj and incmat
* Fix bug in cached adj/inc
* mx gcn spmv runnable; acc debugging...
* fix bug in mx gcn that loss is not correctly calculated
* fix mx utest
* fix as requested
* use raw parameter tensors rather than dense layer
* fix dropout
* Add numbers in readme
* 0.1.2 release
* oops
* more fixes on windows
* [Bugfix] fix download dir (#275)
* fix download dir
* add doc for the env var
* windows 7 -> 10
* doc update
* [Bugfix] Fix conversion from networkx (#286)
* fix from_nx when no edge id available
* add test cases
* more detailed tests
* more comments
* [Bugfix] Switch to sparse_coo_matrix for torch 1.0+ (#282)
* switch to sparse_coo_matrix for torch 1.0+
* fix bug when the version is 0.4.1.post2
* change to distutils
* copy feature to networkx
* fix to_network for multi-graph
* test case for nx conversion
* iterate over Index returns plain int instead of numpy.int64
* fix from_network multi-edge bug
* inplace write row op and executor
* update scheduler and graph to use inplace write
* fix
* fix bug
* test case for inplace
* fix bugs for inplace apply node/edge
* fix comments
* th.allclose -> U.allclose
* fix recv nodes are all 0deg; fix hybriddict does not through keyerror properly
* fallback to apply_nodes when all nodes are 0deg; WIP on pull spmv 0deg
* new 0deg behavior
* new 0deg behavior
* update mx utest for pull-0deg
* fix mx
* fix mx
* get rid of unnecessary sort-n-unique
* pickling support
* resorting to suggested way of pickling
* custom attribute pickling check
* working around a weird pytorch pickling bug
* including partial frame case
* pickling everything now
* fix as requested
* change ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* nx package
* update ci
* update ci
* update ci
* fix
* mx dockerfile by zhengda
* python3.6->3.5
* update ci image
* add tutorial test
* fix ci
* fix ssl problem
* minor change
* small fix on traversal utest
* fix syntax
* add matplotlib in image
* fix
* update ci
* update ci
* 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
* 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
* 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
* 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
* 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
Minjie Wang