[GraphBolt] Add more and larger `BuiltinDataset`s

## 🔨Work Item

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Project tracker: https://github.com/orgs/dmlc/projects/2

## Description

Let's add more large datasets such as `ogbn-papers100M` from [Open Graph Benchmark](https://ogb.stanford.edu/docs/nodeprop/#ogbn-papers100M) and even larger [IGB-datasets](https://github.com/IllinoisGraphBenchmark/IGB-Datasets) (homogenous and hetero variants).

`ogbn-papers100M` is a better dataset than `ogbn-products` because `ogbn-products` takes less than 1 minute to train on the GPU is on a smaller scale with #6861. We should do our profiling with examples that use larger-scale datasets. Finally, the IGB datasets are much much larger scale, and training them will take much longer time, which will be a really good benchmark for us to test largest-scale training scenarios (Covers both homogenous `igb` prefix and heterogenous scenarios `igbh` prefix).

- [x] ogbn-papers100M
- [ ] igb-hom #7717, #7770
- [ ] igb-het #7708