Marcel Hildebrandt

According to our database, Marcel Hildebrandt authored at least 22 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Debiased Contrastive Loss for Collaborative Filtering.

Zhuang Liu, Yunpu Ma, Haoxuan Li, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2023

A Knowledge Graph Perspective on Supply Chain Resilience.

Yushan Liu, Bailan He, Marcel Hildebrandt, Maximilian Buchner, Daniela Inzko, Roger Wernert, Emanuel Weigel, Dagmar Beyer, Martin Berbalk, Volker Tresp

Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 co-located with Extended Semantic Web Conference 2023 (ESWC 2023), 2023

2022

CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations.

Zhuang Liu, Yunpu Ma, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong

Knowl. Inf. Syst., 2022

Task-driven knowledge graph filtering improves prioritizing drugs for repurposing.

Florin Ratajczak, Mitchell Joblin, Martin Ringsquandl, Marcel Hildebrandt

BMC Bioinform., 2022

On Calibration of Graph Neural Networks for Node Classification.

Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp

Proceedings of the International Joint Conference on Neural Networks, 2022

Neuro-symbolic computing with spiking neural networks.

Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs.

Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Reasoning on graph-structured data with deep-learning, path-based methods, and tensor factorization.

Marcel Hildebrandt

PhD thesis, 2021

Learning through structure: towards deep neuromorphic knowledge graph embeddings.

Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler, Dominik Dold

CoRR, 2021

Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering.

Rajat Koner, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, Stephan Günnemann

Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs.

Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp

Proceedings of the Semantic Web - 18th International Conference, 2021

Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids.

Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing.

Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp

CoRR, 2020

Scene Graph Reasoning for Visual Question Answering.

Marcel Hildebrandt, Hang Li, Rajat Koner, Volker Tresp, Stephan Günnemann

CoRR, 2020

Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs.

Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

CoRR, 2020

Reasoning on Knowledge Graphs with Debate Dynamics.

Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach.

Marcel Hildebrandt, Mohamed Khalil, Christoph Bergs, Volker Tresp, Roland Wüchner, Kai-Uwe Bletzinger, Michael Heizmann

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context.

Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Mitchell Joblin, Akhil Mehta, Ingo Thon, Volker Tresp

Proceedings of the Semantic Web - 16th International Conference, 2019

2018

Holistic Representations for Memorization and Inference.

Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Filling Gaps in Industrial Knowledge Graphs via Event-Enhanced Embedding.

Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger

Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems.

Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Event-Enhanced Learning for KG Completion.

Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger

Proceedings of the Semantic Web - 15th International Conference, 2018