Danai Koutra
Orcid: 0000-0002-3206-8179
According to our database1,
Danai Koutra
authored at least 135 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Knowl. Data Eng., March, 2024
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
2023
Dagstuhl Reports, December, 2023
IEEE Data Eng. Bull., 2023
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks.
CoRR, 2023
Size Generalizability of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective.
CoRR, 2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation.
CoRR, 2023
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
ACM Trans. Knowl. Discov. Data, 2022
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Data Mining, 2022
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation.
Proceedings of the Conference on Lifelong Learning Agents, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
The Power of Summarization in Graph Mining and Learning: Smaller Data, Faster Methods, More Interpretability.
Proc. VLDB Endow., 2021
Proc. VLDB Endow., 2021
CoRR, 2021
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Proceedings of the IEEE International Symposium on Workload Characterization, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications.
ACM Trans. Knowl. Discov. Data, 2020
Soc. Netw. Anal. Min., 2020
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data.
J. Am. Medical Informatics Assoc., 2020
Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data.
CoRR, 2020
What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach.
IEEE Trans. Signal Inf. Process. over Networks, 2019
Mach. Learn., 2019
Knowl. Inf. Syst., 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
The Effect of Social Interaction on Facilitating Audience Participation in a Live Music Performance.
Proceedings of the 2019 ACM SIGCHI Conference on Creativity and Cognition, 2019
When to remember where you came from: node representation learning in higher-order networks.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
Soc. Netw. Anal. Min., 2018
Biogeography and environmental conditions shape bacteriophage-bacteria networks across the human microbiome.
PLoS Comput. Biol., 2018
CoRR, 2018
Proceedings of the 2018 International Conference on Management of Data, 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the 21st International Conference on Extending Database Technology, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01911-1, 2017
Informatics, 2017
CoRR, 2017
Australas. J. Inf. Syst., 2017
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
2016
ACM Trans. Knowl. Discov. Data, 2016
Knowl. Inf. Syst., 2016
On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016
2015
Proc. VLDB Endow., 2015
Data Min. Knowl. Discov., 2015
CoRR, 2015
Events and Controversies: Influences of a Shocking News Event on Information Seeking.
Proceedings of the 24th International Conference on World Wide Web, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
2014
Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology, 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
2013
Proceedings of the 22nd International World Wide Web Conference, 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
2012
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012
Proceedings of the 16th Panhellenic Conference on Informatics, PCI 2012, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011