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2020 – today
- 2024
[c16]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- 2023
- [c15]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 - [c14]Zhuang Liu
, Yunpu Ma, Haoxuan Li, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong:
Debiased Contrastive Loss for Collaborative Filtering. KSEM (3) 2023: 94-105 - [i12]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 abs/2305.08506 (2023) - 2022
- [j2]Florin Ratajczak, Mitchell Joblin, Martin Ringsquandl, Marcel Hildebrandt:
Task-driven knowledge graph filtering improves prioritizing drugs for repurposing. BMC Bioinform. 23(1): 84 (2022) - [j1]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): 2239-2265 (2022) - [c13]Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp:
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. AAAI 2022: 4120-4127 - [c12]Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler:
Neuro-symbolic computing with spiking neural networks. ICONS 2022: 30:1-30:4 - [c11]Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp:
On Calibration of Graph Neural Networks for Node Classification. IJCNN 2022: 1-8 - [i11]Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp:
On Calibration of Graph Neural Networks for Node Classification. CoRR abs/2206.01570 (2022) - [i10]Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler:
Neuro-symbolic computing with spiking neural networks. CoRR abs/2208.02576 (2022) - 2021
- [b1]Marcel Hildebrandt:
Reasoning on graph-structured data with deep-learning, path-based methods, and tensor factorization. Ludwig Maximilian University of Munich, Germany, 2021 - [c10]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: 1538-1547 - [c9]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: 375-391 - [c8]Rajat Koner, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, Stephan Günnemann:
Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering. ISWC 2021: 111-127 - [i9]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp:
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs. CoRR abs/2103.10367 (2021) - [i8]Rajat Koner, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, Stephan Günnemann:
Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering. CoRR abs/2107.06325 (2021) - [i7]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 abs/2109.03604 (2021) - [i6]Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler, Dominik Dold:
Learning through structure: towards deep neuromorphic knowledge graph embeddings. CoRR abs/2109.10376 (2021) - [i5]Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp:
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. CoRR abs/2112.08025 (2021) - 2020
- [c7]Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Reasoning on Knowledge Graphs with Debate Dynamics. AAAI 2020: 4123-4131 - [i4]Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Reasoning on Knowledge Graphs with Debate Dynamics. CoRR abs/2001.00461 (2020) - [i3]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 abs/2001.03436 (2020) - [i2]Marcel Hildebrandt, Hang Li, Rajat Koner, Volker Tresp, Stephan Günnemann:
Scene Graph Reasoning for Visual Question Answering. CoRR abs/2007.01072 (2020) - [i1]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp:
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing. CoRR abs/2007.05292 (2020)
2010 – 2019
- 2019
- [c6]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: 179-193 - [c5]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: 1327-1332 - 2018
- [c4]Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger:
Event-Enhanced Learning for KG Completion. ESWC 2018: 541-559 - [c3]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: 271-287 - [c2]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 - [c1]Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier:
Holistic Representations for Memorization and Inference. UAI 2018: 403-413
Coauthor Index
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last updated on 2024-10-08 20:34 CEST by the dblp team
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