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Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

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arxiv 2007.02901 v2 pith:UOYPRO74 submitted 2020-07-06 cs.LG cs.SIstat.ML

classification cs.LGcs.SIstat.ML
keywords datasetbenchmarkdifferentexperimentsgraphnetworksneuralwiki-cs
verification ladder T0 review T1 audit T2 compute T3 formal
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We present Wiki-CS, a novel dataset derived from Wikipedia for benchmarking Graph Neural Networks. The dataset consists of nodes corresponding to Computer Science articles, with edges based on hyperlinks and 10 classes representing different branches of the field. We use the dataset to evaluate semi-supervised node classification and single-relation link prediction models. Our experiments show that these methods perform well on a new domain, with structural properties different from earlier benchmarks. The dataset is publicly available, along with the implementation of the data pipeline and the benchmark experiments, at https://github.com/pmernyei/wiki-cs-dataset .

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Cited by 19 Pith papers

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