Marcel Hoffmann

20 papers A 1B 2C 3Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 B conf
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset.
IJCNN
Felix Burr, Marcel Hoffmann, Ansgar Scherp
2025 J jnl
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset.
CoRR
Felix Burr, Marcel Hoffmann, Ansgar Scherp
2025 A conf
Gumbel-MPNN: Graph Rewiring with Gumbel-Softmax.
ECAI
Marcel Hoffmann, Lukas Galke, Ansgar Scherp
2025 J jnl
Gumbel-MPNN: Graph Rewiring with Gumbel-Softmax.
CoRR
Marcel Hoffmann, Lukas Galke, Ansgar Scherp
2024 — conf
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs Without Message Passing.
LoG
Matthias Kohn, Marcel Hoffmann, Ansgar Scherp
2024 J jnl
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing.
CoRR
Matthias Kohn, Marcel Hoffmann, Ansgar Scherp
2024 — conf
Lifelong Graph Learning for Graph Summarization.
WI/IAT
Jonatan Frank, Marcel Hoffmann, Nicolas Lell, David Richerby, Ansgar Scherp
2024 J jnl
Lifelong Graph Summarization with Neural Networks: 2012, 2022, and a Time Warp.
CoRR
Jonatan Frank, Marcel Hoffmann, Nicolas Lell, David Richerby, Ansgar Scherp
2024 — conf
POWN: Prototypical Open-World Node Classification.
CoLLAs
Marcel Hoffmann, Lukas Galke, Ansgar Scherp
2024 J jnl
POWN: Prototypical Open-World Node Classification.
CoRR
Marcel Hoffmann, Lukas Galke, Ansgar Scherp
2023 C conf
Fine-Tuning Language Models for Scientific Writing Support.
CD-MAKE
Justin Mücke, Daria Waldow, Luise Metzger, Philipp Schauz, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp
2023 J jnl
Fine-Tuning Language Models for Scientific Writing Support.
CoRR
Justin Mücke, Daria Waldow, Luise Metzger, Philipp Schauz, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp
2023 J jnl
Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes.
Neural Networks
Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Marcel Hoffmann, Ansgar Scherp
2023 C conf
On the Rule-Based Extraction of Statistics Reported in Scientific Papers.
NLDB
Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp
2023 B conf
Open-World Lifelong Graph Learning.
IJCNN
Marcel Hoffmann, Lukas Galke, Ansgar Scherp
2023 J jnl
Open-World Lifelong Graph Learning.
CoRR
Marcel Hoffmann, Lukas Galke, Ansgar Scherp
2022 J jnl
Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers with STEREO.
J. Data Intell.
Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp
2022 J jnl
Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting.
CoRR
Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp
2021 J jnl
A Machine Learning Pipeline for Automatic Extraction of Statistic Reports and Experimental Conditions from Scientific Papers.
CoRR
Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp
2021 C conf
STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers.
iiWAS
Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp