Event-Enhanced Learning for KG Completion. - Martin Ringsquandl; Evgeny Kharlamov; Daria Stepanova 001; Marcel Hildebrandt; Steffen Lamparter; Raffaello Lepratti; Ian Horrocks 001; Peer Kröger (ESWC, 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 (ECML/PKDD (3), 2018)

Filling Gaps in Industrial Knowledge Graphs via Event-Enhanced Embedding. - Martin Ringsquandl; Evgeny Kharlamov; Daria Stepanova 001; Marcel Hildebrandt; Steffen Lamparter; Raffaello Lepratti; Ian Horrocks 001; Peer Kröger (ISWC (P&D/Industry/BlueSky), 2018)

Holistic Representations for Memorization and Inference. - Yunpu Ma; Marcel Hildebrandt; Volker Tresp; Stephan Baier (UAI, 2018)

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 (ESWC, 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 (INDIN, 2019)

Reasoning on Knowledge Graphs with Debate Dynamics. - Marcel Hildebrandt; Jorge Andres Quintero Serna; Yunpu Ma; Martin Ringsquandl; Mitchell Joblin; Volker Tresp (AAAI, 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)

Scene Graph Reasoning for Visual Question Answering. - Marcel Hildebrandt; Hang Li 010; Rajat Koner; Volker Tresp; Stephan Günnemann (CoRR, 2020)

Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing. - Yushan Liu 002; Marcel Hildebrandt; Mitchell Joblin; Martin Ringsquandl; Volker Tresp (CoRR, 2020)

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 (CIKM, 2021)

Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs. - Yushan Liu 002; Marcel Hildebrandt; Mitchell Joblin; Martin Ringsquandl; Rime Raissouni; Volker Tresp (ESWC, 2021)

Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering. - Rajat Koner; Hang Li 010; Marcel Hildebrandt; Deepan Das; Volker Tresp; Stephan Günnemann (ISWC, 2021)

Learning through structure: towards deep neuromorphic knowledge graph embeddings. - Victor Caceres Chian; Marcel Hildebrandt; Thomas A. Runkler; Dominik Dold (CoRR, 2021)

Reasoning on graph-structured data with deep-learning, path-based methods, and tensor factorization. - Marcel Hildebrandt (2021)

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. - Yushan Liu 002; Yunpu Ma; Marcel Hildebrandt; Mitchell Joblin; Volker Tresp (AAAI, 2022)

Neuro-symbolic computing with spiking neural networks. - Dominik Dold; Josep Soler Garrido; Victor Caceres Chian; Marcel Hildebrandt; Thomas A. Runkler (ICONS, 2022)

On Calibration of Graph Neural Networks for Node Classification. - Tong Liu 019; Yushan Liu 002; Marcel Hildebrandt; Mitchell Joblin; Hang Li 010; Volker Tresp (IJCNN, 2022)

Task-driven knowledge graph filtering improves prioritizing drugs for repurposing. - Florin Ratajczak; Mitchell Joblin; Martin Ringsquandl; Marcel Hildebrandt (BMC Bioinform., 2022)

CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations. - Zhuang Liu 004; Yunpu Ma; Marcel Hildebrandt; Yuanxin Ouyang; Zhang Xiong 001 (Knowl. Inf. Syst., 2022)

A Knowledge Graph Perspective on Supply Chain Resilience. - Yushan Liu 002; Bailan He; Marcel Hildebrandt; Maximilian Buchner; Daniela Inzko; Roger Wernert; Emanuel Weigel; Dagmar Beyer; Martin Berbalk; Volker Tresp (D2R2, 2023)

Debiased Contrastive Loss for Collaborative Filtering. - Zhuang Liu 004; Yunpu Ma; Haoxuan Li 003; Marcel Hildebrandt; Yuanxin Ouyang; Zhang Xiong 001 (KSEM (3), 2023)

An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models. - Bailan He; Yushan Liu 002; Marcel Hildebrandt; Zifeng Ding; Yaomengxi Han; Volker Tresp (D2R2, 2024)