| Multi-Scale Attributed Node Embedding B Rozemberczki, C Allen, R Sarkar Journal of Complex Networks 9 (2), 2021 | 563 | 2021 |
| GEMSEC: Graph Embedding with Self-Clustering B Rozemberczki, R Davies, R Sarkar, C Sutton Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 308 | 2019 |
| Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models B Rozemberczki, R Sarkar Proceedings of the 29th ACM International Conference on Information and …, 2020 | 239 | 2020 |
| Scaling Graph Neural Networks with Approximate PageRank A Bojchevski, J Klicpera, B Perozzi, A Kapoor, M Blais, B Rózemberczki, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 221 | 2020 |
| Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs B Rozemberczki, O Kiss, R Sarkar Proceedings of the 29th ACM International Conference on Information and …, 2020 | 175* | 2020 |
| PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models B Rozemberczki, P Scherer, Y He, G Panagopoulos, A Riedel, ... Proceedings of the 30th ACM International Conference on Information and …, 2021 | 131 | 2021 |
| The Shapley Value in Machine Learning B Rozemberczki, L Watson, P Bayer, HT Yang, O Kiss, S Nilsson, ... Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 89* | 2022 |
| Fast-Sequence Based Embedding with Diffusion Graphs B Rozemberczki, R Sarkar Proceedings of the 9th Conference on Complex Networks CompleNet 2018, 99-107, 2018 | 62 | 2018 |
| Little Ball of Fur: A Python Library for Graph Sampling B Rozemberczki, O Kiss, R Sarkar Proceedings of the 29th ACM International Conference on Information and …, 2020 | 36 | 2020 |
| Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings B Rozemberczki, R Sarkar Workshop on Graph Learning Benchmarks@ TheWebConf 2021, 2021 | 35 | 2021 |
| Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks B Rozemberczki, P Scherer, O Kiss, R Sarkar, T Ferenci WWW '21 Graph Learning Benchmarks Workshop, 2021 | 28 | 2021 |
| Pathfinder discovery networks for neural message passing B Rozemberczki, P Englert, A Kapoor, M Blais, B Perozzi Proceedings of the Web Conference 2021, 2547-2558, 2021 | 26 | 2021 |
| The Shapley Value of Classifiers in Ensemble Games B Rozemberczki, R Sarkar Proceedings of the 30th ACM International Conference on Information and …, 2021 | 21 | 2021 |
| Biological Insights Knowledge Graph: an integrated knowledge graph to support drug development D Geleta, A Nikolov, G Edwards, A Gogleva, R Jackson, E Jansson, ... Machine Learning on Graphs Workshop @WSDM 2022, 2021 | 18* | 2021 |
| ChemicalX: A Deep Learning Library for Drug Pair Scoring B Rozemberczki, CT Hoyt, A Gogleva, P Grabowski, K Karis, A Lamov, ... Proceedings of the 28th ACM SIGKDD International Conference on Knowledge …, 2022 | 17 | 2022 |
| Topological Signatures for Fast Mobility Analysis A Ghosh, B Rozemberczki, S Ramamoorthy, R Sarkar Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018 | 14 | 2018 |
| PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs Y He, X Zhang, J Huang, B Rozemberczki, M Cucuringu, G Reinert arXiv preprint arXiv:2202.10793, 2022 | 12* | 2022 |
| A Unified View of Relational Deep Learning for Drug Pair Scoring B Rozemberczki, S Bonner, A Nikolov, M Ughetto, S Nilsson, E Papa Proceedings of the Thirty-First International Joint Conference on Artificial …, 2021 | 10 | 2021 |
| Persistence and Performance in Co-Enrollment Network Embeddings: An Empirical Validation of Tinto's Student Integration Model E Fincham, B Rozemberczki, V Kovanović, S Joksimović, J Jovanović, ... IEEE Transactions on Learning Technologies 14 (1), 106-121, 2021 | 10 | 2021 |
| Synthetic Graph Generation to Benchmark Graph Learning A Tsitsulin, B Rozemberczki, J Palowitch, B Perozzi Workshop on Graph Learning Benchmarks@ TheWebConf 2021, 2021 | 10 | 2021 |
Rik SarkarReader (Associate Professor), University of EdinburghVerified email at inf.ed.ac.uk
