Dataset Overview

Dataset Description

• Name: Deezer ego nets
• Summary: This dataset contains ego‑networks of Eastern European users collected from the music streaming service Deezer in February 2020. Nodes represent users and edges represent mutual follow relationships.
• Task: Binary classification to predict the gender of the ego nodes.

Dataset Structure

• Data Fields:
  • edge_index (list: 2 x #edges): Node pairs forming edges
  • y (list: #labels): Labels usable for prediction
  • num_nodes (integer): Number of nodes in the graph
• Data Split: No predefined split; cross‑validation is recommended.

License Information

• License: GPL‑3.0

Citation

@inproceedings{karateclub, title = {{Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs}}, author = {Benedek Rozemberczki and Oliver Kiss and Rik Sarkar}, year = {2020}, pages = {3125–3132}, booktitle = {Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM 20)}, organization = {ACM}, }