  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 .
