Lukas Galke

According to our database, Lukas Galke authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Emergent communication and learning pressures in language models: a language evolution perspective.

Lukas Galke, Limor Raviv

CoRR, 2024

2023

Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes.

Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Marcel Hoffmann, Ansgar Scherp

Neural Networks, July, 2023

Representation Learning for Texts and Graphs: A Unified Perspective on Efficiency, Multimodality, and Adaptability.

Lukas Galke

PhD thesis, 2023

GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding.

Andor Diera, Abdelhalim Dahou, Lukas Galke, Fabian Karl, Florian Sihler, Ansgar Scherp

CoRR, 2023

What makes a language easy to deep-learn?

Lukas Galke, Yoav Ram, Limor Raviv

CoRR, 2023

Open-World Lifelong Graph Learning.

Marcel Hoffmann, Lukas Galke, Ansgar Scherp

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities.

Iacopo Vagliano, Lukas Galke, Ansgar Scherp

Inf. Retr. J., 2022

Emergent Communication for Understanding Human Language Evolution: What's Missing?

Lukas Galke, Yoav Ram, Limor Raviv

CoRR, 2022

Bag-of-Words vs. Sequence vs. Graph vs. Hierarchy for Single- and Multi-Label Text Classification.

Andor Diera, Bao Xin Lin, Bhakti Khera, Tim Meuser, Tushar Singhal, Lukas Galke, Ansgar Scherp

CoRR, 2022

General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings.

Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp

Proceedings of the International Joint Conference on Neural Networks, 2022

Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP.

Lukas Galke, Ansgar Scherp

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Lifelong Learning in Evolving Graphs with Limited Labeled Data and Unseen Class Detection.

Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Ansgar Scherp

CoRR, 2021

New Students on Sesame Street: What Order-Aware Matrix Embeddings Can Learn from BERT.

Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp

CoRR, 2021

Forget me not: A Gentle Reminder to Mind the Simple Multi-Layer Perceptron Baseline for Text Classification.

Lukas Galke, Ansgar Scherp

CoRR, 2021

Lifelong Learning of Graph Neural Networks for Open-World Node Classification.

Lukas Galke, Benedikt Franke, Tobias Zielke, Ansgar Scherp

Proceedings of the International Joint Conference on Neural Networks, 2021

COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics.

Lukas Galke, Eva Seidlmayer, Gavin Lüdemann, Lisa Langnickel, Tetyana Melnychuk, Konrad U. Förstner, Klaus Tochtermann, Carsten Schultz

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift.

Lukas Galke, Iacopo Vagliano, Ansgar Scherp

CoRR, 2020

ORCID for Wikidata. Data enrichment for scientometric applications.

Eva Seidlmayer, Jakob Voß, Tetyana Melnychuk, Lukas Galke, Klaus Tochtermann, Carsten Schultz, Konrad U. Förstner

Proceedings of the 1st Wikidata Workshop (Wikidata 2020) co-located with 19th International Semantic Web Conference(OPub 2020), 2020

2019

Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference.

Lukas Galke, Iacopo Vagliano, Ansgar Scherp

CoRR, 2019

CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model.

Florian Mai, Lukas Galke, Ansgar Scherp

Proceedings of the 7th International Conference on Learning Representations, 2019

Take it Personally - A Python library for data enrichment for infometrical applications.

Eva Seidlmayer, Lukas Galke, Tetyana Melnychuk

Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany, September 9th - to, 2019

Inductive Learning of Concept Representations from Library-Scale Bibliographic Corpora.

Lukas Galke, Tetyana Melnychuk, Eva Seidlmayer, Steffen Trog, Konrad U. Förstner, Carsten Schultz, Klaus Tochtermann

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function?

Lukas Galke, Florian Mai, Ansgar Scherp

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018

Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels.

Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation.

Iacopo Vagliano, Lukas Galke, Florian Mai, Ansgar Scherp

Proceedings of the ACM Recommender Systems Challenge, 2018

Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text.

Florian Mai, Lukas Galke, Ansgar Scherp

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph.

Anne Lauscher, Kai Eckert, Lukas Galke, Ansgar Scherp, Syed Tahseen Raza Rizvi, Sheraz Ahmed, Andreas Dengel, Philipp Zumstein, Annette Klein

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents.

Ahmed Saleh, Tilman Beck, Lukas Galke, Ansgar Scherp

Proceedings of the Maturity and Innovation in Digital Libraries, 2018

A Case Study of Closed-Domain Response Suggestion with Limited Training Data.

Lukas Galke, Gunnar Gerstenkorn, Ansgar Scherp

Proceedings of the Database and Expert Systems Applications, 2018

2017

Comparing Titles vs. Full-text for Multi-Label Classification of Scientific Papers and News Articles.

Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp

CoRR, 2017

Using Titles vs. Full-text as Source for Automated Semantic Document Annotation.

Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp

Proceedings of the Knowledge Capture Conference, 2017

Word Embeddings for Practical Information Retrieval.

Lukas Galke, Ahmed Saleh, Ansgar Scherp

Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017