Lukas Galke

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 38

Top Topics

Text Classification

Lifelong Learning

Evolving Graphs

Top Venues

GI-Jahrestagung

Publications

Tetyana Melnychuk, Lukas Galke, Eva Seidlmayer, Stefanie Bröring, Konrad U. Förstner, Klaus Tochtermann, Carsten Schultz
Development of Similarity Measures From Graph-Structured Bibliographic Metadata: An Application to Identify Scientific Convergence. IEEE Trans. Engineering Management 71 (2024)
Lukas Galke, Limor Raviv
Emergent communication and learning pressures in language models: a language evolution perspective. CoRR (2024)
Marcel Hoffmann, Lukas Galke, Ansgar Scherp
POWN: Prototypical Open-World Node Classification. CoRR (2024)
Marcel Hoffmann, Lukas Galke, Ansgar Scherp
Open-World Lifelong Graph Learning. IJCNN (2023)
Lukas Galke, Yoav Ram, Limor Raviv
What makes a language easy to deep-learn? CoRR (2023)
Andor Diera, Abdelhalim Dahou, Lukas Galke, Fabian Karl, Florian Sihler, Ansgar Scherp
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding. CoRR (2023)
Marcel Hoffmann, Lukas Galke, Ansgar Scherp
Open-World Lifelong Graph Learning. CoRR (2023)
Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Marcel Hoffmann, Ansgar Scherp
Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes. Neural Networks 164 (2023)
Andor Diera, Bao Xin Lin, Bhakti Khera, Tim Meuser, Tushar Singhal, Lukas Galke, Ansgar Scherp
Bag-of-Words vs. Sequence vs. Graph vs. Hierarchy for Single- and Multi-Label Text Classification. CoRR (2022)
Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp
General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings. IJCNN (2022)
Lukas Galke, Yoav Ram, Limor Raviv
Emergent Communication for Understanding Human Language Evolution: What's Missing? CoRR (2022)
Lukas Galke, Ansgar Scherp
Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP. ACL (1) (2022)
Iacopo Vagliano, Lukas Galke, Ansgar Scherp
Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities. Inf. Retr. J. 25 (3) (2022)
Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Ansgar Scherp
Lifelong Learning in Evolving Graphs with Limited Labeled Data and Unseen Class Detection. CoRR (2021)
Lukas Galke, Benedikt Franke, Tobias Zielke, Ansgar Scherp
Lifelong Learning of Graph Neural Networks for Open-World Node Classification. IJCNN (2021)
Iacopo Vagliano, Lukas Galke, Ansgar Scherp
Recommendations for Item Set Completion: On the Semantics of Item Co-Occurrence With Data Sparsity, Input Size, and Input Modalities. CoRR (2021)
Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp
New Students on Sesame Street: What Order-Aware Matrix Embeddings Can Learn from BERT. CoRR (2021)
Lukas Galke, Ansgar Scherp
Forget me not: A Gentle Reminder to Mind the Simple Multi-Layer Perceptron Baseline for Text Classification. CoRR (2021)
Lukas Galke, Eva Seidlmayer, Gavin Lüdemann, Lisa Langnickel, Tetyana Melnychuk, Konrad U. Förstner, Klaus Tochtermann, Carsten Schultz
COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics. IEEE BigData (2021)
Eva Seidlmayer, Jakob Voß, Tetyana Melnychuk, Lukas Galke, Klaus Tochtermann, Carsten Schultz, Konrad U. Förstner
ORCID for Wikidata. Data enrichment for scientometric applications. Wikidata@ISWC (2020)
Lukas Galke, Iacopo Vagliano, Ansgar Scherp
Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift. CoRR (2020)
Lukas Galke, Iacopo Vagliano, Ansgar Scherp
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference. CoRR (2019)
Eva Seidlmayer, Lukas Galke, Tetyana Melnychuk
Take it Personally - A Python library for data enrichment for infometrical applications. SEMANTiCS Posters&Demos (2019)
Florian Mai, Lukas Galke, Ansgar Scherp
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model. ICLR (Poster) (2019)
Lukas Galke, Tetyana Melnychuk, Eva Seidlmayer, Steffen Trog, Konrad U. Förstner, Carsten Schultz, Klaus Tochtermann
Inductive Learning of Concept Representations from Library-Scale Bibliographic Corpora. GI-Jahrestagung (2019)
Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. CoRR (2019)
Lukas Galke, Florian Mai, Ansgar Scherp
What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function? GI-Jahrestagung (2019)
Florian Mai, Lukas Galke, Ansgar Scherp
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model. CoRR (2019)
Ahmed Saleh, Tilman Beck, Lukas Galke, Ansgar Scherp
Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents. ICADL (2018)
Iacopo Vagliano, Lukas Galke, Florian Mai, Ansgar Scherp
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation. RecSys Challenge (2018)
Florian Mai, Lukas Galke, Ansgar Scherp
Using Deep Learning For Title-Based Semantic Subject Indexing To Reach Competitive Performance to Full-Text. CoRR (2018)
Lukas Galke, Gunnar Gerstenkorn, Ansgar Scherp
A Case Study of Closed-Domain Response Suggestion with Limited Training Data. DEXA Workshops (2018)
Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. UMAP (2018)
Anne Lauscher, Kai Eckert, Lukas Galke, Ansgar Scherp, Syed Tahseen Raza Rizvi, Sheraz Ahmed, Andreas Dengel, Philipp Zumstein, Annette Klein
Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph. JCDL (2018)
Florian Mai, Lukas Galke, Ansgar Scherp
Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text. JCDL (2018)
Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp
Using Titles vs. Full-text as Source for Automated Semantic Document Annotation. K-CAP (2017)
Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp
Comparing Titles vs. Full-text for Multi-Label Classification of Scientific Papers and News Articles. CoRR (2017)
Lukas Galke, Ahmed Saleh, Ansgar Scherp
Word Embeddings for Practical Information Retrieval. GI-Jahrestagung (2017)