597ac7f8b5
[Release] v0.1.3 ( #288 )
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* 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
2018-12-11 01:30:47 -05:00
eafcb7e7f5
[Bugfix][MXNet] Fix edge order and builtin max bug in mx ( #247 )
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* Fix edge order and builtin max bug in mx
* fix as requested
2018-12-05 01:32:54 -08:00
a5a35d1f7a
[Sampler] improve random shuffle performance in sampler ( #228 )
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* fix.
* make it generic.
* add the API.
* fix.
* remove mxnet.
2018-12-04 09:24:32 -08:00
05f464f824
[Bugfix] fix args with incontiguous node and edge tensor ( #153 )
2018-11-15 10:55:15 -05:00
048f6d7a30
[GraphIndex] refactor graph caching ( #150 )
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* refactor graph caching
* fix mx test
* fix typo
2018-11-13 22:12:38 -05:00
40ca5de450
[API] Readout interfaces ( #124 )
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* fixing builtin src*edge shape mismatch
* bundled function refactor (?)
* fixing names
* readout prototype
* oops
* more fixes
* removing readout prototype
* sum_on() with SPMV, fixing batching with 0 edges
* readouts with segmented sum
* typo (??????)
* fixes NLTK dependency (#125 )
* misc fixes including #126 (pushing again)
* sanity check for mxnet
* fixes NLTK dependency (#125 ) and #126
* reverting to sum_nodes/edges
2018-11-10 11:35:34 -05:00
7241a9c008
[Backend] backend interface ( #109 )
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* backend interface
* small fix
* more comments to the data type dict
* WIP
* convert_to and narrow
* WIP
* pytorch and numpy backend; WIP on mxnet backend
* mxnet backend
* narrow
* Fix all usages
* fix for mx
* fix for mx
* fix mx
* fix mx
* fix mx
* fix mx
* fix mx
* fix mx
* fix mx
* revert jenkins
* add sparse_matrix api
* sparse matrix api
* some fixme
* Fix as requested
2018-11-04 21:42:39 -05:00
Minjie Wang