* 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>
* [Model] add model example CARE-GNN
* update README
* improvements based on the review feedback
* fix missing item()
Co-authored-by: zhjwy9343 <6593865@qq.com>
* add model example GCN-based Anti-Spam
* update example index
* add usage info
* improvements as per comments
* fix image invisiable problem
* add image file
Co-authored-by: zhjwy9343 <6593865@qq.com>
* fix breakline in fakenews.py
* fix inconsistent argument name
* modify incorrect example and deprecated graph type
* modify docstring and example in knn_graph
* fix incorrect node type
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
* add hilander model implementation draft
* use focal loss
* fix
* change data root
* add necessary scripts
* update download links
* update
* update example table
* fix
* update readme with numbers
* add empty folder
* only eval at the end
* set up hilander
* inform results may fluctuate
* address comments
Co-authored-by: sneakerkg <xiaotj1990327@gmail.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-19-212.us-east-2.compute.internal>
* csr and csc creation
* fix
* fix
* fixes to adj transpose
* fine
* raise error if indptr did not match number of nodes
* fix
* huh?
* oh
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
* add output device for dataloading
* Update dataloader
* Get sampler device from dataloader
* Fix line length
* Update examples
* Fix to_block GPU for empty relation types
* Handle the case where the DistGraph has None for the underlying graph
Co-authored-by: Da Zheng <zhengda1936@gmail.com>
* Split from NCCL PR
* Fix type in comment
* Expand documentation for sparse_all_to_all_push
* Restore previous behavior in example
* Re-work optimizer to use NCCL based on gradient location
* Allow for running with embedding on CPU but using NCCL for gradient exchange
* Optimize single partition case
* Fix pylint errors
* Add missing include
* fix gradient indexing
* Fix line continuation
* Migrate 'first_step'
* Skip tests without enough GPUs to run NCCL
* Improve empty tensor handling for pytorch 1.5
* Fix indentation
* Allow multiple NCCL communicator to coexist
* Improve handling of empty message
* Update python/dgl/nn/pytorch/sparse_emb.py
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
* Update python/dgl/nn/pytorch/sparse_emb.py
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
* Keepy empty tensor dimensionaless
* th.empty -> th.tensor
* Preserve shape for empty non-zero dimension tensors
* Use shared state, when embedding is shared
* Add support for gathering an embedding
* Fix typo
* Fix more typos
* Fix backend call
* Use NodeDataLoader to take advantage of ddp
* Update training script to share memory
* Only squeeze last dimension
* Better handle empty message
* Keep embedding on the target device GPU if dgl_sparse if false in RGCN example
* Fix typo in comment
* Add asserts
* Improve documentation in example
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
* Make multigpu graphsage use whole datset
* Specify queeze dimension
* Remove squeeze dimension
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Quan (Andy) Gan