* Update README.md
Add description of RECT
* [Example] Add implementation of RECT
[Example] Add implementation of RECT
* Update classify.py
Modify the class names and the function names mentioned above
* Update main.py
Modify the function names mentioned above
* Update label_utils.py
Adjust the comments
* Update README.md
Add the github information
Co-authored-by: Tianjun Xiao <xiaotj1990327@gmail.com>
* Add row/col sorted flags
* improve sorting paths
* Remove print statement
* Keep track of sorted matrices
* Remove sort check in to_block
* Improve CPU sorted COO->CSR
* Handle the zero edge case
* Remove omp default clause to work with MSVC
* Update comments on sorted COO->CSR cpu implementatoin
* Expose sorted to python interface
* Make check_sorted default to false for dgl.graph()
* remove check sorted; add utests
* remove check_sorted flag
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
* Start on uniform GPU sampling
* Save more work
* Get cu file compiling
* Update sampling
* More changes
* Get GPU sampling for uniform probabilities solved
* Fix batch tensor migration
* Fix
* update kernels
* expand blocking
* Undo testing change
* Cut down on sampling overhead
* Fix replacement
* Update unit tests
* Add option to gpu sample in graphsage
* Copy only csc to gpu
* Add ogbn support
* Fix linting
* Remove nvtx from sample
* Improve documentation and error checking
* Expand documentation
* Update assert checking
* delete extra space
* Use standard dataloader when dataset is a dictionary
* ogb -> ogbn
* Fix edge selection determinism
* Fix typos
* Remove nvtx
* Add comment for self.fanout_arrays and assert
* Fix linting
* Migrate to scalarbatcher
* Fix indentation
* Fix batcher
* Fix indexing
* Only use databatcher for GPU
* Convert to DGL NDArray to PyTorch Tensor
* Add optimization for PyTorch's F.tensor() for list of GPU tensors
Co-authored-by: Da Zheng <zhengda1936@gmail.com>
* multi gpus training for mag240m
* remove unused function
* small changes
* more fix
* use multi gpus to eval and more fix
Co-authored-by: Quan Gan <coin2028@hotmail.com>
* Add hgat example
* Add experiment
* Clean code
* clear the code
* Add index in README
* Add index in README
* Add index in README
* Add index in README
* Add index in README
* Add index in README
* Change the code title and folder name
* Ready to merge
* Prepare for rebase and change message passing function
* use git ignore to handle empty file
* change file permission to resolve empty file
* Change permission
* change file mode
* Finish Coding
* working code cpu
* pyg compare
* Accelerate with batching
* FastMode Enabled
* update readme
* Update README.md
* refractor code
* add graphsim code
* modified code
* few fix
* Modified graphsim
* Simple Model Added
* Clean up code
* Refractor the code for Merge
* Bugfix enable gradient when train
* update readme and format
Co-authored-by: Chen <chesirui@3c22fbe5458c.ant.amazon.com>
Co-authored-by: Tianjun Xiao <xiaotj1990327@gmail.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-4-63.ap-northeast-1.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-45-47.ap-northeast-1.compute.internal>
* Typo in command example.
process_nowplaying_rs.py is the right name under this folder.
* Update README.md
* Update README.md
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.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
* fix feature type of TU dataset
* fix readme
* remove commented codes
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
* tf nn for edgeConv
* Auto stash before merge of "tf_working" and "origin/tf_working"
* clean up
* added test for edge_conv
* fix
* fix
* fix
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Quan Gan <coin2028@hotmail.com>
Method `dataset.num_labels` has been deprecated and replaced by `dataset.num_classes`.
Updating the method name to avoid runtime warning.
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
* Wrap cub with prefixes and remove thrust
* Using counting iterator
Co-authored-by: Zihao Ye <expye@outlook.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
* [Bugfix] add default value for BlockSampler
* [Doc] modify user_guide description about MultiLayerDropoutSample
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Tingzhang Zhao