Följ
Lukas Galke
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Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP
L Galke, A Scherp
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
58*2022
Word embeddings for practical information retrieval
L Galke, A Saleh, A Scherp
Informatik 2017, 2155-2167, 2017
472017
Using deep learning for title-based semantic subject indexing to reach competitive performance to full-text
F Mai, L Galke, A Scherp
Proceedings of the 18th ACM/IEEE on joint conference on digital libraries …, 2018
462018
Lifelong learning of graph neural networks for open-world node classification
L Galke, B Franke, T Zielke, A Scherp
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
422021
Using titles vs. full-text as source for automated semantic document annotation
L Galke, F Mai, A Schelten, D Brunsch, A Scherp
Proceedings of the 9th Knowledge Capture Conference, 1-4, 2017
312017
Multi-modal adversarial autoencoders for recommendations of citations and subject labels
L Galke, F Mai, I Vagliano, A Scherp
Proceedings of the 26th conference on user modeling, adaptation and …, 2018
302018
Emergent communication for understanding human language evolution: What's missing?
L Galke, Y Ram, L Raviv
arXiv preprint arXiv:2204.10590, 2022
282022
Linked open citation database: Enabling libraries to contribute to an open and interconnected citation graph
A Lauscher, K Eckert, L Galke, A Scherp, STR Rizvi, S Ahmed, A Dengel, ...
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries …, 2018
262018
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model
F Mai, L Galke, A Scherp
ICLR 2019 · The Seventh International Conference on Learning Representations, 2019
162019
Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes
L Galke, I Vagliano, B Franke, T Zielke, M Hoffmann, A Scherp
Neural Networks 164, 156-176, 2023
152023
Bag-of-words vs. sequence vs. graph vs. hierarchy for single-and multi-label text classification
A Diera, BX Lin, B Khera, T Meuser, T Singhal, L Galke, A Scherp
arXiv preprint arXiv 2204 (10.48550), 2022
132022
Incremental training of graph neural networks on temporal graphs under distribution shift
L Galke, I Vagliano, A Scherp
arXiv preprint arXiv:2006.14422v2, 2020
13*2020
Can Graph Neural Networks Go" Online"? An Analysis of Pretraining and Inference
L Galke, I Vagliano, A Scherp
arXiv preprint arXiv:1905.06018, 2019
122019
Inductive learning of concept representations from library-scale corpora with graph convolution
L Galke, T Melnychuk, E Seidlmayer, S Trog, KU Frstner, C Schultz, ...
INFORMATIK. Gesellschaft für Informatik, Bonn, 2019
12*2019
Deep neural networks and humans both benefit from compositional language structure
L Galke, Y Ram, L Raviv
Nature Communications 15 (1), 10816, 2024
8*2024
Open-World Lifelong Graph Learning
M Hoffmann, L Galke, A Scherp
2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023
7*2023
Using adversarial autoencoders for multi-modal automatic playlist continuation
I Vagliano, L Galke, F Mai, A Scherp
Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018
72018
Learning and communication pressures in neural networks: Lessons from emergent communication
LPA Galke, L Raviv
Language Development Research 5 (1), 116-143, 2025
6*2025
Development of Similarity Measures From Graph-Structured Bibliographic Metadata: An Application to Identify Scientific Convergence
T Melnychuk, L Galke, E Seidlmayer, S Bröring, KU Förstner, ...
IEEE Transactions on Engineering Management, 2023
62023
Are We Really Making Much Progress in Text Classification? A Comparative Review
L Galke, A Diera, BX Lin, B Khera, T Meuser, T Singhal, F Karl, A Scherp
arXiv preprint arXiv:2204.03954, 2022
6*2022
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Artiklar 1–20