Citation Network Dataset
The DBLP is a citation network dataset. The citation data is extracted from DBLP, ACM, MAG (Microsoft Academic Graph), and other sources. The first version contains 629,814 papers and 632,752 citations. Each paper is associated with abstract, authors, year, venue, and title.
The data set can be used for clustering with network and side information, studying influence in the citation network, finding the most influential papers, topic modeling analysis, etc.
Source: https://www.aminer.org/citation
Variants: DBLP (PACT) 14k, DBLP
This dataset is used in 3 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Node Classification | FIT-GNN | FIT-GNN: Faster Inference Time for … | 2024-10-19 |
| Node Classification | RR-GCN-PPV | R-GCN: The R Could Stand … | 2022-03-04 |
| Node Classification | R-GCN | R-GCN: The R Could Stand … | 2022-03-04 |
| Node Classification | PairE | Graph Representation Learning Beyond Node … | 2022-03-03 |
| Node Classification | GRACE | Deep Graph Contrastive Representation Learning | 2020-06-07 |
| Node Classification | DAOR | Bridging the Gap between Community … | 2019-12-17 |
| Link Prediction | GLACE | Gaussian Embedding of Large-scale Attributed … | 2019-12-02 |
| Link Prediction | HSRL (DW) | Learning Topological Representation for Networks … | 2019-02-15 |
| Link Prediction | Event2vec | Representation Learning for Heterogeneous Information … | 2019-01-29 |
| Community Detection | CommunityGAN | CommunityGAN: Community Detection with Generative … | 2019-01-20 |
Recent papers with results on this dataset: