* Added code for Rectifying (TypeError: unhashable type: 'slice') when copying file
* 1) added distributed preprocessing code to create ParMetis Input from CSV files
2) add code to run pm_dglpart on multiple machines
3) added support for recreating heteregenous graph from homo geneous graph based on dropped edges, as ParMetis currently only supports homogeneous graphs
* move to pandas
* Added comments and remove drop_duplicates as it was redundant
* Addressed Pr Comments
* Rename variable
* Added comment
* Added comment
* updated ReadMe
Co-authored-by: Ankit Garg <gaank@amazon.com>
Co-authored-by: Da Zheng <zhengda1936@gmail.com>
* PPIDataset
* Revert "PPIDataset"
This reverts commit 264bd0c960cfa698a7bb946dad132bf52c2d0c8a.
* data pipeline user guide
* remove chapter numbers
* Update data.rst
* image in dataset userguide
* update links using ref
* modify the link of save_graphs and load_graphs in dataset user guide
* move image to s3 server.
* fix links and ref
* Hide implementations that may cause confusions to the user
* add papers
* fix number of classes in Amazon Cobuy datasets
* add two papers to Awesome paper list
* Update README.md
* add four papers
* add two papers
* Add awesome papers
* Fix index in paper list
* Add paper to paperlist
* add two papers
* add two papers
* Update README.md
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
* PPIDataset
* Revert "PPIDataset"
This reverts commit 264bd0c960cfa698a7bb946dad132bf52c2d0c8a.
* data pipeline user guide
* remove chapter numbers
* Update data.rst
* image in dataset userguide
* update links using ref
* modify the link of save_graphs and load_graphs in dataset user guide
* move image to s3 server.
* fix links and ref
* Hide implementations that may cause confusions to the user
* add papers
* fix number of classes in Amazon Cobuy datasets
* add two papers to Awesome paper list
* Update README.md
* add four papers
* add two papers
* Add awesome papers
* Fix index in paper list
* Add paper to paperlist
* add two papers
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
* PPIDataset
* Revert "PPIDataset"
This reverts commit 264bd0c960cfa698a7bb946dad132bf52c2d0c8a.
* data pipeline user guide
* remove chapter numbers
* Update data.rst
* image in dataset userguide
* update links using ref
* modify the link of save_graphs and load_graphs in dataset user guide
* move image to s3 server.
* fix links and ref
* Hide implementations that may cause confusions to the user
* add papers
* fix number of classes in Amazon Cobuy datasets
* add two papers to Awesome paper list
* Update README.md
* add four papers
* add two papers
* Add awesome papers
* Fix index in paper list
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
* PPIDataset
* Revert "PPIDataset"
This reverts commit 264bd0c960cfa698a7bb946dad132bf52c2d0c8a.
* data pipeline user guide
* remove chapter numbers
* Update data.rst
* image in dataset userguide
* update links using ref
* modify the link of save_graphs and load_graphs in dataset user guide
* move image to s3 server.
* fix links and ref
* Hide implementations that may cause confusions to the user
* add papers
* fix number of classes in Amazon Cobuy datasets
* add two papers to Awesome paper list
* Update README.md
* add four papers
* add two papers
* PPIDataset
* Revert "PPIDataset"
This reverts commit 264bd0c960cfa698a7bb946dad132bf52c2d0c8a.
* Hide implementations that may cause confusions to the user
* fix number of classes in Amazon Cobuy datasets
* add four papers
* PPIDataset
* Revert "PPIDataset"
This reverts commit 264bd0c960cfa698a7bb946dad132bf52c2d0c8a.
* data pipeline user guide
* remove chapter numbers
* Update data.rst
* image in dataset userguide
* update links using ref
* modify the link of save_graphs and load_graphs in dataset user guide
* move image to s3 server.
* fix links and ref
* Hide implementations that may cause confusions to the user
* add papers
* fix number of classes in Amazon Cobuy datasets
* add two papers to Awesome paper list
* Update README.md
Added three papers using DGL:
NHK_STRL at WNUT-2020 Task 2: GATs with Syntactic Dependencies as Edges and CTC-based Loss for Text Classification
Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
* first commit
* some thoughts
* move around
* more commit
* more fixes
* now it uses torch allocator
* fix symbol export error
* fix
* fixes
* test fix
* add script
* building separate library per version
* fix for vs2019
* more fixes
* fix on windows build
* update jenkinsfile
* auto copy built dlls for windows
* lint and installation guide update
* fix
* specify conda environment
* set environment for ci
* fix
* fix
* fix
* fix again
* revert
* fix cmake
* fix
* switch to using python interpreter path
* remove scripts
* debug
* oops sorry
* Update index.rst
* Update index.rst
* copies automatically, no need for this
* do not print message if library not found
* tiny fixes
* debug on nightly
* replace add_compile_definitions to make CMake 3.5 happy
* fix linking to wrong lib for multiple pytorch envs
* changed building strategy
* fix nightly
* fix windows
* fix windows again
* setup bugfix
* address comments
* change README
* PPIDataset
* Revert "PPIDataset"
This reverts commit 264bd0c960cfa698a7bb946dad132bf52c2d0c8a.
* data pipeline user guide
* remove chapter numbers
* Update data.rst
* image in dataset userguide
* update links using ref
* modify the link of save_graphs and load_graphs in dataset user guide
* move image to s3 server.
* fix links and ref
* Hide implementations that may cause confusions to the user
* add papers
Add GraphHINGE paper (Conference Version (KDD'20) and Journal Version) in Awesome Papers Using DGL.
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Cheng Wan