* rgcn with new heterograph API
* apply_edge() forward for multi relation
* undoing changes from rgcn-hetero
* backward apply_edge(copy_u) added
* unittest for apply_edge(copy_e)
* Compatible with new PRs
* resolving conflict with master
* Bringing back change after resolving conflict
* minor
* minor
Co-authored-by: Israt Nisa <nisisrat@amazon.com>
* [CPU, Parallel] Rewriting omp pragmas with parallel_for
* [CPU, Parallel] Decrease number of calls to task function
* c[CPU, Parallel] Modify calls to new interface of parallel_for
* Make column double indices lazy
* Copy indices to proper contexts
* Fix initialization
* Add unit test
* Fix unit test for tensorflow
* Remove unused member
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
* Doc: HetGConv note for `edge_type_subgraph`
For the rational behind this note see the discussion in #3003.
* WIP: Requirements for building the docs.
Had to install all these packages to get further with building the docs.
Didn't successfully build them yet, tho.
* Test
* Update
* Update hetero.py
* Update hetero.py
Co-authored-by: Ubuntu <ubuntu@ip-172-31-13-32.us-west-2.compute.internal>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* some modifications for pointnet2
* temporarily save changes
* move files to new directory point_transformer
* implement point transformer for classification
* restore train_cls in pointnet
* implement point transformer for partseg
* fix point transformer for nan loss
* modify point transformer for cls
* modify training setting
* update transformer for cls
* update code
* update code for latest performance
* update the example index
* some minor changes
Co-authored-by: Tong He <hetong007@gmail.com>
* allow for configuring default_dir
* allow for using DGLDEFAULTDIR environment variable
* Update env_var.rst
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
* Implement range based NDArrayPartition
* Finish implement range based partition support
* Add unit test
* Fix whitepace
* Add Kernel suffix
* Fix argument passing
* Add doxygen docs and improve variable naming
* Add unit test
* Add function for converting a partition book
* Add example to partition_op docs
* Fix dtype conversion for mxnet and tensorflow
* Create EEG-GCNN example.
* Update README.md
* Remove gitignore file.
* Update README.md
* change 'datas' to 'datasets'.
* Change train.py to main.py
* Added an entry in the indexing page.
* State "simplified version"; change how to run.
* Fix bug in contact
* Remove paper link in reference.
* Create working branch
* Add normalization of x.
* Update paper link and tags
* Update paper link in readme
* Update readme; add patient level indices
* Update readme. Add comments to models
* Update README.md
* change to with; specify location for ch and el; move note
* fix bug for note
* Add args for models; clean code.
* delete = in readme
* Add reference for spec_coh_values
* 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>
xiang song(charlie.song)