GitLab

* 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

* lazy eval edge ids.

* parallelize node id lookup.

* fix a bug.

* use mxnet for index.

* use update_all in the subgraph training.

* sample neighbors.

* Revert "parallelize node id lookup."

This reverts commit e661f69bb06cb5a7c246f0e106f245e27800e220.

* update README.

* cache subgraphs.

* support all degrees.

* cache adj in CPU.

* fix a bug in sse.

* print.

* raise error on mutable graphs.

* measure train time per epoch.

* fix a bug in graph_index.

* remove readonly in DGLSubGraph.

* cache subgraph properly.

* accelerate getting adjacency.

* split infer.

* lazy eval edges.

* specify inference mode.

* update for new sampler.

* use new mxnet sampling api.

* fix indent.

* remove profiling code.

* remove mxnet from sampler.

* return a lambda function for graph edges.

* add docs for immutable subgraph.

* Revert "return a lambda function for graph edges."

This reverts commit 0de5d7f100e230c518a3fb8976a6227f474d09ee.

* get parent_eid.

* cherry picking optimization from jtnn

* adding official code.  TODO: fix DGLMolTree

* updating to current api.  vae test still failing

* reverting to list stacking

* reverting to list stacking

* cleaning x flags (stupid windows)

* cleaning x flags (stupid windows)

* adding stats

* optimization

* updating dgl stats

* update again

* more optimization

* looks like computation is faster

* removing profiling code

* cleaning obsolete code

* remove comparison warning

* readme update

* official implementation got a lot faster

* minor fixes

* unbatch by slicing frames

* working around unbatch

* reduce pack

* oops

* support frame read/write with slices

* reverting back to readout as unbatch-by-slicing slows down backward

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

* replacing lru cache with static object factory

* 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

* forgot the find edges interface

* subclassing namedtuple

* updating to the latest api spec

* bugfix

* bfs with edges

* dfs toy test case

* clean up

* style fix

* bugfix

* update to latest api; include traversal

* replacing with readout

* simplify decoder

* oops

* cleanup

* reducing number of sets

* more speed up

* profile results

* random fixes

* fixing tvmarray handling incontiguous dlpack input

* fancier dataloader

* fix a potential context mismatch

* todo: support pickling or using scipy in multiprocessing load

* pickling support

* resorting to suggested way of pickling

* custom attribute pickling check

* working around a weird pytorch pickling bug

* including partial frame case

* enabling multiprocessing dataloader

* pickling everything now

* really works

* oops

* updated profiling results

* cleanup

* fix as requested

* cleaning random blank lines

* removing profiler outputs

* starting decoding

* testing, WIP

* tree decoding

* graph decoding, WIP

* graph decoding works

* oops

* fixing legacy apis

* trimming number of candidate structures

* sampling cleanups

* removing comparison test

* updated description

* WIP

* new at glance

* fix dgmg tutorial indentation

* bug in incidence_matrix docstring

* remove print

* rgcn tutorial

* data processing for rgcn

* many fix

* requirements for rgcn tutorial

* fix comments

* description of rgcn dataset

* author

* bug fix

* move all dataset to s3

* update dgl at a glance

* update title

* Update 1_first.py

* poke ci

* poke again

* force download data everytime

* move file from dropbox to s3

* fix ci and move sst to s3

* remove blank line

* change the signature of node/edge filter

* upd filter

* Support multi-dimension node feature in SPMV

* stable version

* hotfix

* upd tutorial

* upd README

* Fix dataset

* Track data APIs

* Docstring for udf

* Track udf docs

* Improve

* Improved

* Delete udf.py

* Improve

* Update doc

* Update batched_graph.py

* Fix

* Fix

* Fix

* Fix

* fix memory leak & Remove unnecessary initializer

* change confused name

* fix name

* Move func outside loop

* fix name inconsistency

* conda recipe

* switching to source build

* trying windows build

* wip

* windows build works

* 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

* add bdist_wheel build

* fix wheel build

* fix setup

* fix ci

* fix setup

* fix

* fix setup

* poke ci

* fix

* poke ci

* clean build

* fix ci

* addback the env