Published August 8, 2023
| Version v1
Dataset
Open
Supplementary dataset for "Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking"
Authors/Creators
- 1. Michigan State University
- 2. New Jersey Institute of Technology
- 3. Snap Inc.
- 4. Baidu Inc.
Description
The supplementary dataset for the paper "Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking". We include the splits for cora, citeseer, and pubmed, the hard negative samples, and the node2vec embeddings. We also include a jupyter file read_data.ipynb to show how to read the non-txt file.
- heart_test_samples.npy, heart_valid_samples.npy: the heard negative samples
- *-n2v-embedding.pt: node2vec embeddings
- test_samples_index.pt, valid_samples_index.pt: the node index of the selected samples in ogbl-ppa under HeaRT
- gnn_feature: the input feature of cora, citeseer, pubmed
More details for our code and how to use the dataset are on the code repository: https://github.com/Juanhui28/HeaRT .