Publications per year
Publications per year
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2024
Approximating the Graph Edit Distance with Compact Neighborhood Representations
Bause, F., Permann, C. & Kriege, N. M., 22 Aug 2024, Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. . Springer Cham, Vol. 14945. p. 300-318 18 p. (Lecture Notes in Computer Science, Vol. 14945).Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
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Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent
Kummer, L., Moustafa, S., Schrittwieser, S., Gansterer, W. & Kriege, N. M., 25 Aug 2024, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining: KDD 2024. New York: Association for Computing Machinery (ACM), p. 1428-1439 12 p.Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Open Access -
On the Two Sides of Redundancy in Graph Neural Networks
Bause, F., Moustafa, S., Langguth, J., Gansterer, W. & Kriege, N. M., 22 Aug 2024, (E-pub ahead of print) Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. Bifet, A., Davis, J., Krilavičius, T., Kull, M., Ntoutsi, E. & Žliobaitė, I. (eds.). Springer Cham, Vol. 14946. p. 371-388 18 p. (Lecture Notes in Computer Science, Vol. 14946).Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
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2023
A Higher-Order Temporal H-Index for Evolving Networks
Oettershagen, L., Kriege, N. M. & Mutzel, P., 6 Aug 2023, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery (ACM), p. 1770-1782 13 p. (ACM Conferences, Vol. 2023).Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Open Access -
A Temporal Graphlet Kernel For Classifying Dissemination in Evolving Networks
Oettershagen, L., Kriege, N. M., Jordan, C. & Mutzel, P., 27 Apr 2023, Proceedings of the 2023 SIAM International Conference on Data Mining (SDM). p. 19-27Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Open Access -
2022
Temporal Walk Centrality: Ranking Nodes in Evolving Networks
Oettershagen, L., Mutzel, P. & Kriege, N. M., Apr 2022, WWW 2022 - Proceedings of the ACM Web Conference 2022. Laforest, F. & Troncy, R. (eds.). New York, NY: Association for Computing Machinery (ACM), p. 1640-1650 11 p.Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Open Access -
2021
Metric Indexing for Graph Similarity Search
Bause, F., Blumenthal, D. B., Schubert, E. & Kriege, N. M., 22 Oct 2021, Similarity Search and Applications. SISAP 2021. Reyes, N., Connor, R., Kriege, N., Kazempour, D., Bartolini, I., Schubert, E. & Chen, J-J. (eds.). Cham: Springer, p. 323-336 14 p. (Lecture Notes in Computer Science, Vol. 13058).Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
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The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
Kriege, N. M., Morris, C. & Fey, M., 19 Aug 2021, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21): Montreal, 19-27 August 2021. Zhou, Z-H. (ed.). International Joint Conferences on Artificial Intelligence, p. 4543-4550Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Open Access -
2020
TUDataset: A collection of benchmark datasets for learning with graphs
Morris, C., Kriege, N. M., Bause, F., Kersting, K., Mutzel, P. & Neumann, M., 2020, ICML 2020 Workshop on Graph Representation Learning and Beyond (GRL+ 2020).Publications: Contribution to book › Contribution to proceedings › Peer Reviewed