* update agg function with new bindings
* handle optional import in __init__
* raise error in RelGraphConvAgg when pylibcugraphops not imported
* Update tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* use keyword args for readability
* add missing docstring to pass CI
* catch ImportError rather than ModuleNotFoundError
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Add PathEncoder to transformer.py
* add blank line at the and
* rename variabl sp to shortest_path
* Fixed corresponding problems
* Fixed certain bugs when running on CUDA
* changed clamp min from 0 to 1
Co-authored-by: Ubuntu <ubuntu@ip-172-31-14-146.ap-northeast-1.compute.internal>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* [Dist] instantiate NodeDataView in lazy mode
* fix test failure
* init node/edge data store at the very beginning
* fix test failures
* refine comment
* add more tests
* Flexible pipeline - Initial commit
1. Implementation of flexible pipeline feature.
2. With this implementation, the pipeline now supports multiple partitions per process. And also assumes that num_partitions is always a multiple of num_processes.
* Update test_dist_part.py
* Code changes to address review comments
* Code refactoring of exchange_features function into two functions for better readability
* Upadting test_dist_part to fix merge issues with the master branch
* corrected variable names...
* Fixed code refactoring issues.
* Provide missing function arguments to exchange_feature function
* Providing the missing function argument to fix error.
* Provide missing function argument to 'get_shuffle_nids' function.
* Repositioned a variable within its scope.
* Removed tab space which is causing the indentation problem
* Fix issue with the CI test framework, which is the root cause for the failure of the CI tests.
1. Now we read files specific to the partition-id and store this data separately, identified by the local_part_id, in the local process.
2. Similarly as above, we also differentiate the node and edge features type_ids with the same keys as above.
3. These above two changes will help up to get the appropriate feature data during the feature exchange and send to the destination process correctly.
* Correct the parametrization for the CI unit test cases.
* Addressing Rui's code review comments.
* Addressing code review comments.
* add bf16 specializations
* remove SWITCH_BITS
* enable amp for bf16
* remove SWITCH_BITS for cpu kernels
* enbale bf16 based on CUDART
* fix compiling for sm<80
* fix cpu build
* enable unit tests
* update doc
* disable test for CUDA < 11.0
* address comments
* address comments
* [Dist] deprecate etype and always use canonical etype for partition and load
* enable canonical etypes in dist part pipeline
* resolve rebase conflicts
* fix lint
* fix test failure
* throw exception if outdated part config is loaded
* refine
* refine
* revert unnecessary change
* fix typo
* add a learned laplacian positional encoder
* leverage black to beautify the python code
* refine according to dongyu's comments
Co-authored-by: rudongyu <ru_dongyu@outlook.com>
* [Model] Heterogeneous graph support for GNNExplainer (#1)
* add HeteroGNNExplainer
* GNNExplainer for heterogeenous graph
* fix typo
* variable name cleanup
* added HeteroGNNExplainer test
* added doc indexing for HeteroGNNExplainer
* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update python/dgl/nn/pytorch/explain/gnnexplainer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update gnnexplainer.py
Change DGLHeteroGraph to DGLGraph, and specified parameter inputs
* Added ntype parameter to the explainer_node call
* responding to @mufeili's comment regarding restoring empty lines at appriopiate places to be consistent with existing practices
* responding to @mufeili's comment regarding restoring empty lines at appriopiate places that were missed in the last commit
* docstring comments added based on @mufeili suggestions
* indorporated @mufeili requested changes related to docstring model declaration.
* example model and test_nn.py added for explain_graphs
* explain_nodes fixed and fixed the way hetero num nodes and edges are handled
* white spaces removed
* lint issues fixed
* explain_graph model updated
* explain nodes model updated
* minor fixes related to gpu compatability
* cuda support added
* simplify WIP
* _init_masks for ennexplainer updated to match heterographs
* Update
* model simplified and docstring comments updated
* nits: docstring udpated
* lint check issues updated
* lint check updated
* soem formatting updated
* disabling int32 testing for GNNExplainer
* Update
Co-authored-by: Kangkook Jee <kangkook.jee@gmail.com>
Co-authored-by: ahadjawaid <94938815+ahadjawaid@users.noreply.github.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
Co-authored-by: kxm180046 <kxm180046@utdallas.edu>
Co-authored-by: Kunal Mukherjee <kunmukh@gmail.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-9-26.ap-northeast-1.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>
* [Dist] Reduce peak memory in DistDGL: avoid validation, release memory once loaded
* remove orig_id from ndata/edata for partition_graph()
* delete orig_id from ndata/edata in dist part pipeline
* reduce dtype size and format before saving graphs
* fix lint
* ETYPE requires to be int32/64 for CSRSortByTag
* fix test failure
* refine
Tingyu Wang