|
|
--- |
|
|
pretty_name: "IsoNet++ Benchmark" |
|
|
tags: |
|
|
- graphs |
|
|
- graph-retrieval |
|
|
- subgraph-isomorphism |
|
|
- graph-mining |
|
|
- graph-datasets |
|
|
task_categories: |
|
|
- graph-ml |
|
|
- other |
|
|
license: "cc-by-4.0" |
|
|
--- |
|
|
|
|
|
# IsoNet++ Benchmark Dataset |
|
|
|
|
|
The **IsoNet++ Benchmark** is a *subgraph retrieval* benchmark derived from TUDataset graph datasets including: |
|
|
|
|
|
- **AIDS** |
|
|
- **MUTAG** |
|
|
- **PTC** (FM, FR, MM, MR) |
|
|
|
|
|
The benchmark is used to evaluate models that learn **graph representations** for: |
|
|
- Graph similarity search |
|
|
- Subgraph matching |
|
|
- Retrieval at scale |
|
|
|
|
|
This benchmark was introduced to evaluate the **IsoNet++** model. |
|
|
|
|
|
--- |
|
|
|
|
|
## Dataset Structure |
|
|
|
|
|
``` |
|
|
isonetpp-benchmark/ |
|
|
├─ corpus/ # Searchable graph collections |
|
|
│ ├─ aids240k_corpus_subgraphs.pkl |
|
|
│ ├─ mutag240k_corpus_subgraphs.pkl |
|
|
│ ├─ ptc_fm240k_corpus_subgraphs.pkl |
|
|
│ ├─ ptc_fr240k_corpus_subgraphs.pkl |
|
|
│ ├─ ptc_mm240k_corpus_subgraphs.pkl |
|
|
│ └─ ptc_mr240k_corpus_subgraphs.pkl |
|
|
└─ splits/ # Query → relevance evaluation sets |
|
|
├─ train/ |
|
|
│ ├─ train_<dataset>_query_subgraphs.pkl |
|
|
│ └─ train_<dataset>_rel_nx_is_subgraph_iso.pkl |
|
|
├─ val/ |
|
|
│ ├─ val_<dataset>_query_subgraphs.pkl |
|
|
│ └─ val_<dataset>_rel_nx_is_subgraph_iso.pkl |
|
|
└─ test/ |
|
|
├─ test_<dataset>_query_subgraphs.pkl |
|
|
└─ test_<dataset>_rel_nx_is_subgraph_iso.pkl |
|
|
``` |
|
|
|
|
|
Where `<dataset>` ∈ `{aids240k, mutag240k, ptc_fm240k, ptc_fr240k, ptc_mm240k, ptc_mr240k}`. |
|
|
|
|
|
--- |
|
|
|
|
|
## Data Format |
|
|
|
|
|
All `.pkl` files use Python `pickle` serialization: |
|
|
|
|
|
| File Pattern | Description | |
|
|
|-------------|-------------| |
|
|
| `*_corpus_subgraphs.pkl` | List of NetworkX graphs representing the retrieval corpus | |
|
|
| `*_query_subgraphs.pkl` | List of NetworkX graphs serving as query graphs | |
|
|
| `*_rel_nx_is_subgraph_iso.pkl` | Binary labels from exact subgraph isomorphism (NetworkX VF2) | |
|
|
|
|
|
--- |
|
|
|
|
|
## Load Examples |
|
|
|
|
|
### Load Corpus |
|
|
|
|
|
```python |
|
|
from huggingface_hub import hf_hub_download |
|
|
import pickle |
|
|
|
|
|
path = hf_hub_download( |
|
|
"structlearning/isonetpp-benchmark", |
|
|
filename="large_dataset/corpus/aids240k_corpus_subgraphs.pkl", |
|
|
repo_type="dataset" |
|
|
) |
|
|
with open(path, "rb") as f: |
|
|
corpus_graphs = pickle.load(f) |
|
|
``` |
|
|
|
|
|
### Load Query Split |
|
|
|
|
|
```python |
|
|
from huggingface_hub import hf_hub_download |
|
|
import pickle |
|
|
|
|
|
queries = pickle.load(open( |
|
|
hf_hub_download("structlearning/isonetpp-benchmark", |
|
|
filename="large_dataset/splits/train/train_aids240k_query_subgraphs.pkl", |
|
|
repo_type="dataset"), |
|
|
"rb" |
|
|
)) |
|
|
|
|
|
labels = pickle.load(open( |
|
|
hf_hub_download("structlearning/isonetpp-benchmark", |
|
|
filename="large_dataset/splits/train/train_aids240k_rel_nx_is_subgraph_iso.pkl", |
|
|
repo_type="dataset"), |
|
|
"rb" |
|
|
)) |
|
|
``` |
|
|
|
|
|
--- |
|
|
|
|
|
## Intended Use |
|
|
|
|
|
This dataset is suitable for: |
|
|
|
|
|
- Graph retrieval model evaluation |
|
|
- Learning subgraph-aware representations |
|
|
- Benchmarking hashing, GNN-based retrieval systems |
|
|
- Reproducing IsoNet++ results |
|
|
|
|
|
--- |
|
|
|
|
|
## Citation |
|
|
|
|
|
If you use this dataset in research, please cite: |
|
|
|
|
|
``` |
|
|
@inproceedings{ramachandraniteratively, |
|
|
title={Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval}, |
|
|
author={Ramachandran, Ashwin and Raj, Vaibhav and Roy, Indradyumna and Chakrabarti, Soumen and De, Abir}, |
|
|
booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems} |
|
|
} |
|
|
``` |
|
|
|
|
|
--- |
|
|
|
|
|
## License |
|
|
|
|
|
This dataset is released under **CC-BY-4.0**. |
|
|
|
|
|
|
