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Datasets/DBLP (Heterogeneous Node Classification)

DBLP (Heterogeneous Node Classification)

Introduced 2021-12-30

A popular dataset for node classification on heterogeneous graphs.

Benchmarks

Node Classification/ Macro-F1Node Classification/Micro-F1Node Classification/Macro-F1

Related Benchmarks

DBLP/Community Detection/F1-ScoreDBLP/Link Prediction/APDBLP/Link Prediction/AUCDBLP/Node Classification/AccuracyDBLP/Node Classification/Inference Time (ms)DBLP/Node Classification/Macro F1DBLP/Node Classification/Micro F1DBLP (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/APDBLP Temporal/Link Prediction/AUCDBLP Temporal/Link Prediction/MRRDBLP: 20 nodes per class/Node Classification/AccuracyDBLP: 5 nodes per class/Node Classification/Accuracy

Statistics

Papers
12
Benchmarks
3

Links

Tasks

Heterogeneous Node ClassificationNode Classification