GitLab

* add CuGraphSAGEConv model

* fix lint issues

* update model to reflect changes in make_mfg_csr(), move max_in_degree to forward()

* lintrunner

* allow reset_parameters()

* remove norm option, simplify test

* allow full graph fallback option, add example

* address comments

* address reviews

---------
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

* update cugraph_relgraphconv

* update equality test

* update cugraph rgcn example

* update RelGraphConvAgg based on latest API changes

* enable fallback option to fg when fanout is large

---------
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* remove_mock_sparse_example

* mock_sparse_test

* remove_mock_sparse

---------
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* update

* graph
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* gt example

* update

* update

* update

* update

* lint

* Update examples/sparse/graph_transformer.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* update

* Update

* Update

* Update

* Update
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

* update

* lint

* lint

* comments
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

* pass gcn

* example tests

* pass gcnii, hgnn, sgc, sign

* black

* test file

* add torchmetrics

* migrate appnp, c_and_s, twirls

* fix style

* minor fix

* fix hypergraphatt and twirls

* pass gat

* fix torchmetric

* lintrunner
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* add GCN sparse matrix example

* refine GCN example

* refine GCN example

* change train function

* [Bugfix] Turn off `use_alternate_stream` when TensorAdaptor is not enabled (#4987)

* turn off use_alternate_stream when tensoradaptor is not enabled

* add docstring

* Update (#4997)
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

* refine GCN example

* add GCN sparse matrix example

* refine GCN example

* refine GCN example

* change train function

* refine GCN example

* add highlight comment

* refine code

* refine code

* refine by black and flake8

* refine the comment to 80 char length

* refine the comment

* refine comment
Co-authored-by: Xin Yao <xiny@nvidia.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

* add twirls

* update attention part

* update; add val_like to mock_sparse

* black

Correction like mentioned in #4969 

I noticed that there is a normalisation step on line 97 while the normalised values are not used downstream. Even if this was meant to show the normalisation step, it would not be calculating the normalisation step described in the CGN paper. The paper considers both in and out degrees while the normalisation in the code only describes normalisation using the in degrees.
In the end, the normalised values are assigned to g.ndata["norm"] but these values are not used afterwards.

Having a normalisation step here is also unnecessary since the GraphConv layer that is used already takes care of the normalisation. https://docs.dgl.ai/en/0.9.x/_modules/dgl/nn/pytorch/conv/graphconv.html#GraphConv

It confused me for a second thinking that I had to do the normalisation myself but this is already handled by the GraphConf.

* add entity_sample example

* update message

* address review, update api call

* Update examples/pytorch/rgcn/entity_sample_cugraph_relgraphconv.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Update examples/pytorch/rgcn/entity_sample_cugraph_relgraphconv.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Update examples/pytorch/rgcn/entity_sample_cugraph_relgraphconv.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* address review

* move example and add description
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Update

* Update

* Update

* Update
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

* hypergraph attention

* address comments

* Update

* Update

* Update

* CI
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* black on explain_main

* isort

* add dot
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* Update

* Update

* Update

* Update
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

* Update

* Update

* Update

* Update
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

* hgnn example

* desc

* update example index

* address

* replace naming

* address comments

Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* [Dist][Examples] refactor dist graphsage examples

* refine train_dist.py

* update train_dist_unsupervised.py

* fix debug info

* update train_dist_transductive

* update unsupervised_transductive

* remove distgnn

* fix join() in standalone mode

* change batch_labels to long() for ogbn-papers100M

* free unnecessary mem

* lint

* fix lint

* refine

* fix lint

* fix incorrect args

* refine

rename DGLHeteroGraph to DGLGraph

Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Use black for formatting

* limit line width to 80 characters.

* Use a backslash instead of directly concatenating

* file structure adjustment.

* file structure adjustment(2)

* codes for citation2

* format slight adjustment

* adjust format in models.py

* now it runs normally for all datasets.

* add comments; adjust code order.

* adjust indenting.
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Use black for formatting

* limit line width to 80 characters.

* Use a backslash instead of directly concatenating

* file structure adjustment.

* file structure adjustment(2)

* codes for citation2

* format slight adjustment

* adjust format in models.py

* now it runs normally for all datasets.
Co-authored-by: Mufei Li <mufeili1996@gmail.com>