Marcel Hildebrandt

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Top Venues

Publications

Bailan He, Yushan Liu, Marcel Hildebrandt, Zifeng Ding, Yaomengxi Han, Volker Tresp
An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models. D2R2 (2024)
Zhuang Liu, Yunpu Ma, Haoxuan Li, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong
Debiased Contrastive Loss for Collaborative Filtering. KSEM (3) (2023)
Yushan Liu, Bailan He, Marcel Hildebrandt, Maximilian Buchner, Daniela Inzko, Roger Wernert, Emanuel Weigel, Dagmar Beyer, Martin Berbalk, Volker Tresp
A Knowledge Graph Perspective on Supply Chain Resilience. D2R2 (2023)
Yushan Liu, Bailan He, Marcel Hildebrandt, Maximilian Buchner, Daniela Inzko, Roger Wernert, Emanuel Weigel, Dagmar Beyer, Martin Berbalk, Volker Tresp
A Knowledge Graph Perspective on Supply Chain Resilience. CoRR (2023)
Zhuang Liu, Yunpu Ma, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations. Knowl. Inf. Syst. 64 (8) (2022)
Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp
On Calibration of Graph Neural Networks for Node Classification. IJCNN (2022)
Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp
On Calibration of Graph Neural Networks for Node Classification. CoRR (2022)
Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler
Neuro-symbolic computing with spiking neural networks. ICONS (2022)
Florin Ratajczak, Mitchell Joblin, Martin Ringsquandl, Marcel Hildebrandt
Task-driven knowledge graph filtering improves prioritizing drugs for repurposing. BMC Bioinform. 23 (1) (2022)
Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. AAAI (2022)
Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler
Neuro-symbolic computing with spiking neural networks. CoRR (2022)
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp
Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs. ESWC (2021)
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs. CoRR (2021)
Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. CoRR (2021)
Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler, Dominik Dold
Learning through structure: towards deep neuromorphic knowledge graph embeddings. CoRR (2021)
Rajat Koner, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, Stephan Günnemann
Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering. ISWC (2021)
Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids. CIKM (2021)
Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids. CoRR (2021)
Rajat Koner, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, Stephan Günnemann
Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering. CoRR (2021)
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
Reasoning on Knowledge Graphs with Debate Dynamics. AAAI (2020)
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs. CoRR (2020)
Marcel Hildebrandt, Hang Li, Rajat Koner, Volker Tresp, Stephan Günnemann
Scene Graph Reasoning for Visual Question Answering. CoRR (2020)
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing. CoRR (2020)
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
Reasoning on Knowledge Graphs with Debate Dynamics. CoRR (2020)
Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Mitchell Joblin, Akhil Mehta, Ingo Thon, Volker Tresp
A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context. ESWC (2019)
Marcel Hildebrandt, Mohamed Khalil, Christoph Bergs, Volker Tresp, Roland Wüchner, Kai-Uwe Bletzinger, Michael Heizmann
Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach. INDIN (2019)
Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier
Holistic Representations for Memorization and Inference. UAI (2018)
Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger
Filling Gaps in Industrial Knowledge Graphs via Event-Enhanced Embedding. ISWC (P&D/Industry/BlueSky) (2018)
Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler
Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems. ECML/PKDD (3) (2018)
Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger
Event-Enhanced Learning for KG Completion. ESWC (2018)