File size: 1,049 Bytes
a82230f 0e490a5 a82230f 0e490a5 a82230f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 |
# TEG Datasets
## Dataset Format
Each dataset is a [PyG Data object](https://pytorch-geometric.readthedocs.io/en/latest/generated/torch_geometric.data.Dataset.html#torch_geometric.data.Dataset) and is stored in the `processed` subdir following a unified format with each attribute defined as follows:
- `edge_index`: Graph connectivity in COO format with shape [2, num_edges] and type `torch.long`.
- `text_nodes`: `List` contains textual information for each node in the graph.
- `text_edges`: `List` contains textual information for each edge in the graph.
- `node_labels`: `List` contains text labels for each node in the graph. We use `-1` to represent nodes without labels
## Embedding Data Format
The embedding data is thrived from `text_nodes` and `text_edges` through PLM including:
- [GPT](https://platform.openai.com/docs/guides/embeddings)
- [BERT-base](https://huggingface.co/bert-base-uncased)
- [BERT-large](https://huggingface.co/bert-large-uncased)
**We will provide more TEG datasets and PLM embedding in the futrue!**
|