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DBLP

Citation Network Dataset

GraphsUnknownIntroduced 2008-01-01

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

Benchmarks

Community Detection/F1-Score Link Prediction/AUC Link Prediction/AP Node Classification/Accuracy Node Classification/Micro F1 Node Classification/Inference Time (ms)Node Classification/Macro F1

Related Benchmarks

DBLP (Heterogeneous Node Classification)/Node Classification/ Macro-F1 DBLP (Heterogeneous Node Classification)/Node Classification/Macro-F1 DBLP (Heterogeneous Node Classification)/Node Classification/Micro-F1 DBLP (PACT) 14k/Node Classification/Macro-F1 (20% training data)DBLP (PACT) 14k/Node Classification/Macro-F1 (60% training data)DBLP (PACT) 14k/Node Classification/Macro-F1 (80% training data)DBLP (PACT) 14k/Node Classification/Micro-F1 (20% training data)DBLP (PACT) 14k/Node Classification/Micro-F1 (80% training data)DBLP Temporal/Link Prediction/AP DBLP Temporal/Link Prediction/AUC DBLP Temporal/Link Prediction/MRR DBLP: 20 nodes per class/Node Classification/Accuracy DBLP: 5 nodes per class/Node Classification/Accuracy

Statistics

Papers: 218
Benchmarks: 7

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Tasks

Community Detection Heterogeneous Node Classification Link Prediction Node Classification Node Clustering