Research output per year
Research output per year
Personal profile
Research Interests
Network representation learning, semi-supervised learning on networks, distributed algorithms for graph representation learning, large scale network analysis and community detection in attributed graphs.
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Research output
- 4 Conference contribution
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Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models
Rózemberczki, B. & Sarkar, R., 19 Oct 2020, Proceedings of the 29th ACM International Conference on Information & Knowledge Management. New York, NY, USA: ACM Association for Computing Machinery, p. 1325–1334 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs
Rózemberczki, B., Kiss, O. & Sarkar, R., 19 Oct 2020, Proceedings of the 29th ACM International Conference on Information & Knowledge Management. New York, NY, USA: Association for Computing Machinery (ACM), p. 3125–3132Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Little Ball of Fur: A Python Library for Graph Sampling
Rózemberczki, B., Kiss, O. & Sarkar, R., 19 Oct 2020, Proceedings of the 29th ACM International Conference on Information & Knowledge Management. New York, NY, USA: Association for Computing Machinery, Inc, p. 3133–3140 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Fast Sequence Based Embedding with Diffusion Graphs
Rózemberczki, B. & Sarkar, R., 2018, Proceedings for International Conference on Complex Networks 2018. Boston, USA: Springer, p. 99-107 12 p. (Springer Proceedings in Complexity (SPCOM)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile