Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings [article]

Benedek Rozemberczki, Rik Sarkar
2021 arXiv   pre-print
Proximity preserving and structural role-based node embeddings have become a prime workhorse of applied graph mining. Novel node embedding techniques are often tested on a restricted set of benchmark datasets. In this paper, we propose a new diverse social network dataset called Twitch Gamers with multiple potential target attributes. Our analysis of the social network and node classification experiments illustrate that Twitch Gamers is suitable for assessing the predictive performance of novel
more » ... proximity preserving and structural role-based node embedding algorithms.
arXiv:2101.03091v2 fatcat:chizif4aynakrmaet3fpjt2mn4