GitLab

* faq & env

* add update version script; 0.0.1 -> 0.1.0

* add issue template

* add contribution guide and PR Template, adapted from mxnet

* fix typo

* fix a bug in creating immutable graph index.

* fix for new changes in the backend API.

* fix for creating immutable graph index from coo matrix.

* retrigger

* include/dgl/runtime

* include

* src/runtime

* src/graph

* src/scheduler

* src

* clean up CMakeLists

* further clean up in cmake

* install commands

* python/dgl/_ffi/_cython

* python/dgl/_ffi/_ctypes

* python/dgl/_ffi

* python/dgl

* some fix

* copy right

* add sse tutorial

* add mxnet tutorial ci

* fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* Fix ci

* Fix ci

* Fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* Fix CI

Fix CI image

* permission fix

* fix a bug in the code.

* small fix

* fix doc

* fix ci

* shorten the iters

* fix

* remove extra file

* add load_backend api to dynamically switch to another backend

* try fix

* fix tutorial

* fix tutorial

* fix bug in tutorial

* fix all code tutorial links and typos in texts

* sse readme format

* fix

* sse paper link

* gat readme

* fix

* update example readme

* mx example readme

* add results in readme

* mx rgcn readme

* add more unit tests for mxnet.

* fix.

* entity classify work for examples

* add loop_msg

* remove wrong assert

* remove one reshape

* add readme

* add MRR

* remove mrr from entity task

* return seed ids.

* fix tests.

* implement.

* use openmp.

* update cmake.

* WIP

* lr -> 0.01

* new cora dataset

* normalization code

* minor format change

* normalization factor for deg bucket

* change Index.tolist -> Index.tonumpy; fix bug in traversal; remove dependencies in data

* fix import

* fix __all__ and some docstring

* Fix edge order and builtin max bug in mx

* fix as requested

* builtin function docstring

* init docstring

* view docstring

* add init to index and fix

* node /edge feature

* Example -> Examples

* fix func hyperlink

* traversal

* fix

* from/to_networkx docstring

* minor

* fix duplicate label

* comment about tensor framework

* from scipy sparse matrix

* fix format errors

* Docs for graph computing

* Docs for graph computing

* Fix

* WIP

* update the docstring

* 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

Fix typo at doc index

* fix.

* make it generic.

* add the API.

* fix.

* remove mxnet.

* update readme.

* update readme

* improve capsule tutorial with jinyang

* fix wrong layout of second-level tutorial

* delete transformer

* tutorial notebook added

* lg tutorial cleaned up

* dataset scaffold

* move dataloader to data

* fix model

* remove todo

* utils seperated

* [model]line graph new implementation + tutorial + binary sub graph dataset

* [tutorial] line graph sphinx scaffold

* [tutorial] lgnn tutorial improved

* [tutorial] remove notebook

* [tutorial] fix lg and gcn links

* [tutorial] fix random seed

* [tutorial]fix

* WIP

* code refactor done

* new mini dataset; remove utils code

* fix

* word fix

* fix link

* minor fix

* minor fix

* minor fix

* model tutorials overview

* update the 1_first

* revised overview and summarized "what is DGL" in glance

* correct vid mapping API.

* fix sse.

* docstrings for graph mutation & queries

* [Doc] contrib.sampler. (#200)

* subgraph docs

* updates

* added installation guide

* style fix

* package name fixes

* adding it back...

* fix as requested

* adding link

* mac os build instructions

* OS -> macOS

* data preprocessing for rgcn

* edge subgraph

* WIP: RGCN

* use edge feature in spmv

* fix bugs

* match AIFB accuracy

* match mutag accuracy

* avoid materializing in featureless case

* remove untouched nodes and relabel nodes

* fix python list concatenate overhead

* sparsely store edge types

* refactor entity classify code for clean link prediction implementation

* further refactor code

* refactoring

* rgcn block decompose layers

* link predict dataset

* link predict model and eval code

* dropout, self-loop, regularization, etc, plus bug fixes

* update to new api

* dataset update

* bugs, WIP, need to impl early stopping and filtered metrics

* instruction to run, and minor

* group conv and early stop

* clean slow code

* some code comments

* use new api in model code

* change data preprocessing

* entity classify model

* WIP

* move dgl graph out of model

* hot fix for extract zip

* fix link predict model

* use latest dgl apis

* still have memory issue...

* bug fix and move inference to cpu

* move rgcn data processing to contrib

* th.allclose -> U.allclose

* minor change in readme

* fix memory issue in entity classify

* fix and testing code for link predict

* fix entity classify

* clean up

* fix comments

* revert erroneous git merge changes

* code clean up and more comments

* minor

* dependent package version

[MXNet] add unit tests for mxnet

* clean up pr-188 and resubmit

* address Da comments

* 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

* docstrings for graph mutation & queries

* [Doc] contrib.sampler. (#200)

* subgraph docs

* updates