GNN Code Quality

[alexbarghi-nv]

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1. Refactor cuGraph-PyG and cuGraph-DGL Tests to Match cuGraph Standard #3805
   improvement +1
   
2. cuGraph-PyG Should Test Training in CI #3807
   improvement +1
   
3. [FEA] Support Returning Graphs in CSC/CSR Format #3802
   feature request non-breaking +2
   
4. [BUG]: cugraph-dgl example crashed #3847
   bug +1
   
5. [IMP] Accept the shuffle and drop_last arguments in the cuGraph-PyG loader #3949
   improvement non-breaking +2
   
6. Remove "With Edge Properties" Sampling Option from Python API #3856
   breaking improvement +2
   
7. Remove Deprecated Homogeneous Renumbering From CuGraphStore in cuGraph-PyG #3836
   breaking improvement +2
   
8. [IMP] cuGraph-PyG Should Use torch_geometric.EdgeIndex #4051
   breaking improvement +2
   
9. [FEA]: Add type-hints for missing modules added in cugraph_dgl package #2922
   feature request +1
   
10. [FEA] Support Logging of cuGraph-PyG Loader #3796
    feature request +1
    
11. Investigate Migrating cugraph.gnn Subpackage #4407
    improvement +1
    
12. [BUG] cuGraph-PyG WG Feature Store Copies Tensors #4452
    bug +1
    
13. cuGraph-GNN Repository Migration cugraph-gnn#1
    improvement +1
    
14. Add torchdata and pydantic to cuGraph-DGL Test Dependencies cugraph-gnn#4
    bug +1
    
15. rapidsai/graph_dl#568
16. cuGraph-PyG: Support Operators to Convert Graphs (ToUndirected, AddSelfLoops, NormalizeFeatures) cugraph-gnn#18
    feature request +1
    
17. GNN Packages: Update to cupy 13.2 cugraph-gnn#22
    breaking bug +2
    
18. [IMP] Clarify Supported Type Combinations when creating a SGGraph or MGGraph #4587
    improvement +1
    
19. Update README/Docs with GNN Dependency Tree cugraph-gnn#27
    doc +1
    
20. Tracker for Upstream PyG Issue to Fix Filtering (#9566) cugraph-gnn#30
    bug +1
    
21. Test cuGraph-DGL Examples in CI cugraph-gnn#36
    improvement +1
    
22. [FEA] Add Unsupervised Learning Example cugraph-gnn#40
    doc +1