Graph Datasets that can be implemented

[rbSparky]

This is in comparison to pytorch geometric(some datasets might need to be re verified since they might be implemented in umbrella datasets like OGB):

• [x] Chickenpox
• [x] CiteSeer
• [x] Cora
• [x] KarateClub
• [x] MetrLA
• [x] MovieLens
• [x] OGBDataset
• [x] OrganicMaterialsDB
• [x] PemsBay
• [x] Planetoid
• [x] PolBlogs
• [x] Pubmed
• [x] Reddit
• [x] TemporalBrains
• [x] Traffic
• [x] TuDataset
• [x] WindmillEnergy
• [ ] GNNBenchmarkDataset
• [ ] NELL
• [x] CitationFull
• [x] CoraFull
• [ ] Coauthor
• [ ] Amazon
• [ ] Reddit2
• [ ] Flickr
• [ ] Yelp
• [ ] AmazonProducts
• [ ] QM7b
• [x] QM9
• [ ] MD17
• [ ] ZINC
• [ ] AQSOL
• [ ] MoleculeNet
• [ ] PCQM4Mv2
• [ ] Entities
• [ ] RelLinkPredDataset
• [ ] GEDDataset
• [ ] AttributedGraphDataset
• [ ] MNISTSuperpixels
• [ ] FAUST
• [ ] DynamicFAUST
• [ ] ShapeNet
• [ ] ModelNet
• [ ] CoMA
• [ ] SHREC2016
• [ ] TOSCA
• [ ] PCPNetDataset
• [ ] S3DIS
• [ ] GeometricShapes
• [ ] BitcoinOTC
• [ ] GDELTLite
• [ ] ICEWS18
• [ ] GDELT
• [ ] WILLOWObjectClass
• [ ] PascalVOCKeypoints
• [ ] PascalPF
• [ ] SNAPDataset
• [ ] SuiteSparseMatrixCollection
• [ ] WordNet18
• [ ] WordNet18RR
• [ ] FB15k_237
• [ ] WikiCS
• [ ] WebKB
• [ ] WikipediaNetwork
• [ ] HeterophilousGraphDataset
• [ ] Actor
• [ ] UPFD
• [ ] GitHub
• [ ] FacebookPagePage
• [ ] LastFMAsia
• [ ] DeezerEurope
• [ ] GemsecDeezer
• [ ] Twitch
• [ ] Airports
• [ ] LRGBDataset
• [ ] MalNetTiny
• [x] OMDB
• [ ] PolBlogs
• [ ] EmailEUCore
• [ ] LINKXDataset
• [ ] EllipticBitcoinDataset
• [ ] EllipticBitcoinTemporalDataset
• [ ] DGraphFin
• [ ] HydroNet
• [ ] AirfRANS
• [ ] JODIEDataset
• [ ] Wikidata5M
• [ ] MyketDataset
• [ ] BrcaTcga
• [ ] NeuroGraphDataset
• [ ] DBP15K
• [ ] AMiner
• [x] OGB_MAG
• [ ] DBLP
• [x] MovieLens
• [x] MovieLens100K
• [x] MovieLens1M
• [x] IMDB
• [ ] LastFM
• [ ] HGBDataset
• [ ] Taobao
• [ ] IGMCDataset
• [ ] AmazonBook
• [ ] HM
• [ ] OSE_GVCS
• [ ] RCDD
• [ ] OPFDataset
• [ ] CornellTemporalHyperGraphDataset
• [ ] FakeDataset
• [ ] FakeHeteroDataset
• [ ] StochasticBlockModelDataset
• [ ] RandomPartitionGraphDataset
• [ ] MixHopSyntheticDataset
• [ ] ExplainerDataset
• [ ] InfectionDataset
• [ ] BA2MotifDataset
• [ ] BAMultiShapesDataset
• [ ] BAShapes

[rbSparky]

We can assign priorities to the ones that are most commonly used and start with those?