Bump dgl from 1.0.1 to 1.1.1

[dependabot[bot]]

Bumps dgl from 1.0.1 to 1.1.1.

Release notes

Sourced from dgl's releases.

v1.1.1

What's new

• Add support for PyTorch 2.0.1.
• Fix several bugs such as #5872 for DistDGL, #5754 for dgl.khop_daj() and so on.
• Remove several unused third-party libraries such as xbyak, tvm.
• A few performance improvements such as #5508, #5685.

v1.1.0

What's new

• Sparse API improvement
• Datasets for evaluating graph transformers and graph learning under heterophily
• Modules and utilities, including Cugraph convolution modules and SubgraphX
• Graph transformer deprecation
• Performance improvement
• Extended BF16 data type to support 4th Generation Intel® Xeon® Scalable Processors [(#5497](dmlc/dgl#5497))

Detailed breakdown

Sparse API improvement (@​czkkkkkk )

SparseMatrix class

• Merge DiagMatrix class into SparseMatrix class, where the diagonal matrix is stored as a sparse matrix and inherits all the operators from sparse matrix. (#5367)
• Support converting DGLGraph to SparseMatrix.g.adj(self, etype=None, eweight_name=None) returns the sparse matrix representation of the DGL graph g on the edge type etype and edge weight eweight_name. (#5372)
• Enable zero-overhead conversion between Pytorch sparse tensors and SparseMatrix via dgl.sparse.to_torch_sparse_coo/csr/csc and dgl.sparse.from_torch_sparse. (#5373)

SparseMatrix operators

• Support element-wise multiplication on two sparse matrices with different sparsities, e.g., A * B. (#5368)
• Support element-wise division on two sparse matrices with the same sparsity, e.g., A / B. (#5369)
• Support broadcast operators on a sparse matrix and a 1-D tensor via dgl.sparse.broadcast_add/sub/mul/div. (#5370)
• Support column-wise softmax. (#5371)

SparseMatrix examples

• Example for Heterogeneous Graph Attention Networks (#5568, @​mufeili )

Datasets

• PATTERNDataset (#5422, @​gyzhou2000 )
• CLUSTERDataset (#5389, @​ZHITENGLI )
• ChameleonDataset (#5477, @​mufeili )
• SquirrelDataset (#5507, @​mufeili )
• ActorDataset (#5511, @​mufeili )
• CornellDataset (#5513, @​mufeili )
• TexasDataset (#5513, @​mufeili )
• WisconsinDataset (#5520, @​mufeili )
• ZINCDataset (#5428, @​ZhenyuLU-Heliodore )

... (truncated)

Commits

• 05aebd8 [Model] Update cugraph-ops models for 23.04 release (#5540)
• 9892abd [release] bump version to 1.1.1 (#5892)
• 009ee50 [dev] enable specifying conda env name (#5886)
• 2d2bfe7 [Misc] remove unnecessary print() from test_partition.py
• 351a294 [DistDGL] sort node/edge_map to obtain expected id ranges (#5872)
• eb1e882 [CI] Add some notation for train_full.py and move it to a new directory (#5863)
• 135be22 [Misc] Update the comment in examples/sampling/node_classification.py (#5874)
• 4002ee9 [Doc] fix doc build error caused by quickstart.ipynb (#5864)
• 9497bde [Sparse] Update code and add unittest for formats (#5859)
• a7567f6 [Test] Add testcase for function AddSelfLoop (#5858)
• Additional commits viewable in compare view

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[jernsting]

@dependabot rebase

[dependabot[bot]]

Looks like this PR is already up-to-date with main! If you'd still like to recreate it from scratch, overwriting any edits, you can request @dependabot recreate.

[jernsting]

@dependabot recreate

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[dependabot[bot]]

Superseded by #121.