Marcel Hildebrandt

31 papers A* 2A 2B 4C 1Misc 1Journal 14Unranked 6

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