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ORCIDEvgeny Kharlamov
Person information
- affiliation: Bosch, Renningen, Germany
- affiliation: University of Oxford, UK
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2020 – today
- 2024
[j28]Muhammad Yahya
, Abdul Wahid, Lan Yang, John G. Breslin, Evgeny Kharlamov, Muhammad Intizar Ali:
Link Prediction in Industrial Knowledge Graphs: A Case Study on Football Manufacturing. IEEE Access 12: 89804-89817 (2024)- [j27]Zhuoxun Zheng, Baifan Zhou, Hui Yang, Zhipeng Tan, Zequn Sun, Chunnong Li, Arild Waaler, Evgeny Kharlamov, Ahmet Soylu:
Knowledge graph embedding closed under composition. Data Min. Knowl. Discov. 38(6): 3531-3562 (2024) - [c164]Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab:
Robust Knowledge Extraction from Large Language Models using Social Choice Theory. AAMAS 2024: 1593-1601 - [c163]Yunjie He, Daniel Hernández, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab:
Generating SROI- Ontologies via Knowledge Graph Query Embedding Learning. ECAI 2024: 4279-4286 - [c162]Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab:
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction. EMNLP (Findings) 2024: 334-354 - [c161]Zhuoxun Zheng, Baifan Zhou, Hui Yang, Zhipeng Tan, Arild Waaler, Evgeny Kharlamov, Ahmet Soylu:
Low-Dimensional Hyperbolic Knowledge Graph Embedding for Better Extrapolation to Under-Represented Data. ESWC (1) 2024: 100-120 - [c160]Michael Cochez, Evgeny Kharlamov, Radu Prodan:
First International Workshop on Scaling Knowledge Graphs for Industry: Summary. SEMANTiCS (Posters, Demos, Workshops & Tutorials) 2024 - [c159]Antonis Klironomos, Mohamed H. Gad-Elrab, Evgeny Kharlamov:
Empowering Industry Professionals with Machine Learning through Knowledge Graphs. SEMANTiCS (Posters, Demos, Workshops & Tutorials) 2024 - [c158]Mikel Mendibe, Mohamed H. Gad-Elrab, Evgeny Kharlamov:
Scalable processing of Bosch Welding Data with Graph Massivizer. SEMANTiCS (Posters, Demos, Workshops & Tutorials) 2024 - [c157]Wilma Johanna Schmidt, Diego Rincon-Yanez, Evgeny Kharlamov, Adrian Paschke:
Scaling Scientific Knowledge Discovery with Neuro-Symbolic AI and Large Language Models. SEMANTiCS (Posters, Demos, Workshops & Tutorials) 2024 - [c156]Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang:
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. KDD 2024: 4467-4478 - [c155]Dongzhuoran Zhou, Hui Yang, Bo Xiong, Yue Ma, Evgeny Kharlamov:
Alleviating Over-Smoothing via Aggregation over Compact Manifolds. PAKDD (2) 2024: 390-404 - [c154]Abdul Wahid, Muhammad Yahya, Farooq Zaman, Baifan Zhou, John G. Breslin, Muhammad Intizar Ali, Evgeny Kharlamov:
Integrating I4.0 Knowledge Graphs with Large Language Models Beyond SPARQL Endpoints. SOFLIM2KG-SemIIM@ISWC 2024 - [c153]Qiaosheng Chen, Weiqing Luo, Zixian Huang, Tengteng Lin, Xiaxia Wang, Ahmet Soylu, Basil Ell, Baifan Zhou, Evgeny Kharlamov, Gong Cheng:
ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries. SIGIR 2024: 303-312 - [e3]Arild Waaler, Evgeny Kharlamov, Baifan Zhou, Ahmet Soylu, Dimitrios Kyritsis, Dumitru Roman, Ognjen Savkovic, Steffen Staab:
Proceedings of the Second International Workshop on Semantic Industrial Information Modelling (SemIIM 2023) co-located with the 22nd International Semantic Web Conference (ISWC 2023), Greece, Athens, 7 November 2023. CEUR Workshop Proceedings 3647, CEUR-WS.org 2024 [contents] - [i29]Yunjie He, Daniel Hernández, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab:
Generating SROI- Ontologies via Knowledge Graph Query Embedding Learning. CoRR abs/2407.09212 (2024) - [i28]Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Evgeny Kharlamov, Steffen Staab:
Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings. CoRR abs/2407.11821 (2024) - [i27]Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang:
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. CoRR abs/2407.15431 (2024) - [i26]Dongzhuoran Zhou, Hui Yang, Bo Xiong, Yue Ma, Evgeny Kharlamov:
Alleviating Over-Smoothing via Aggregation over Compact Manifolds. CoRR abs/2407.19231 (2024) - [i25]Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab:
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction. CoRR abs/2408.08226 (2024) - [i24]Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab:
Conformalized Answer Set Prediction for Knowledge Graph Embedding. CoRR abs/2408.08248 (2024) - [i23]Yunjie He, Bo Xiong, Daniel Hernández, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab:
DAGE: DAG Query Answering via Relational Combinator with Logical Constraints. CoRR abs/2410.22105 (2024) - 2023
- [j26]Muhammad Yahya, Baifan Zhou, John G. Breslin, Muhammad Intizar Ali, Evgeny Kharlamov:
Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry. IEEE Access 11: 37360-37377 (2023) - [j25]Xiaxia Wang, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu:
BANDAR: Benchmarking Snippet Generation Algorithms for (RDF) Dataset Search. IEEE Trans. Knowl. Data Eng. 35(2): 1227-1241 (2023) - [j24]Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang:
GCCAD: Graph Contrastive Coding for Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35(8): 8037-8051 (2023) - [j23]Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Evgeny Kharlamov, Bin Shao, Rui Li, Kuansan Wang:
OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35(9): 9225-9239 (2023) - [c152]Antonis Klironomos, Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Mohamed H. Gad-Elrab, Heiko Paulheim, Evgeny Kharlamov:
ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics. ESWC (Satellite Events) 2023: 123-127 - [c151]Diego Rincon-Yanez, Mohamed H. Gad-Elrab, Daria Stepanova, Kien-Trung Tran, Cuong Chu Xuan, Baifan Zhou, Evgeny Kharlamov:
Addressing the Scalability Bottleneck of Semantic Technologies at Bosch. ESWC (Satellite Events) 2023: 177-181 - [c150]Cuong Chu Xuan, Mohamed H. Gad-Elrab, Trung-Kien Tran, Marvin Schiller, Evgeny Kharlamov, Daria Stepanova:
Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming. ESWC (Satellite Events) 2023: 200-204 - [c149]Yunjie He, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab:
Can Pattern Learning Enhance Complex Logical Query Answering? ISWC (Posters/Demos/Industry) 2023 - [c148]Zhipeng Tan, Zhuoxun Zheng, Antonis Klironomos, Mohamed H. Gad-Elrab, Guohui Xiao, Ahmet Soylu, Evgeny Kharlamov, Baifan Zhou:
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring. ISWC (Posters/Demos/Industry) 2023 - [c147]Baifan Zhou, Nikolay Nikolov, Zhuoxun Zheng, Xianghui Luo, Ognjen Savkovic, Dumitru Roman, Ahmet Soylu, Evgeny Kharlamov:
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case. ISWC 2023: 380-399 - [c146]Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng, Ognjen Savkovic, Ziqi Huang, Irlán Grangel-González, Ahmet Soylu, Evgeny Kharlamov:
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case. ISWC 2023: 453-471 - [c145]Zhuoxun Zheng, Ognjen Savkovic, Huu Phuc Luu, Ahmet Soylu, Evgeny Kharlamov, Baifan Zhou:
Datalog with External Machine Learning Functions for Automated Cloud Resource Configuration. ISWC (Posters/Demos/Industry) 2023 - [c144]Zhuoxun Zheng, Baifan Zhou, Zhipeng Tan, Ognjen Savkovic, Diego Rincon-Yanez, Nikolay Nikolov, Dumitru Roman, Ahmet Soylu, Evgeny Kharlamov:
Semantic Cloud System for Scaling Data Science Solutions for Welding at Bosch. ISWC (Posters/Demos/Industry) 2023 - [c143]Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab, Evgeny Kharlamov:
Towards Statistical Reasoning with Ontology Embeddings. ISWC (Posters/Demos/Industry) 2023 - [c142]Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang:
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. WWW 2023: 737-746 - [c141]Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang:
ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. WWW 2023: 759-769 - [e2]Arild Waaler, Evgeny Kharlamov, Baifan Zhou, Dongzhuoran Zhou:
Proceedings of the First International Workshop on Semantic Industrial Information Modelling (SemIIM 2022) co-located with the 19th Extended Semantic Web Conference ESWC 2022, Greece, Crete, 30 May 2022. CEUR Workshop Proceedings 3355, CEUR-WS.org 2023 [contents] - [i22]Yunjie He, Mojtaba Nayyeri, Bo Xiong, Evgeny Kharlamov, Steffen Staab:
Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs. CoRR abs/2303.11858 (2023) - [i21]Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang:
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. CoRR abs/2304.04779 (2023) - [i20]Antonis Klironomos, Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Mohamed H. Gad-Elrab, Heiko Paulheim, Evgeny Kharlamov:
ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics. CoRR abs/2305.02966 (2023) - [i19]Baifan Zhou, Nikolay Nikolov, Zhuoxun Zheng, Xianghui Luo, Ognjen Savkovic, Dumitru Roman, Ahmet Soylu, Evgeny Kharlamov:
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case. CoRR abs/2308.01094 (2023) - [i18]Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng, Ognjen Savkovic, Ziqi Huang, Irlán Grangel-González, Ahmet Soylu, Evgeny Kharlamov:
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case. CoRR abs/2308.01105 (2023) - [i17]Diego Rincon-Yanez, Mohamed H. Gad-Elrab, Daria Stepanova, Kien-Trung Tran, Cuong Chu Xuan, Baifan Zhou, Evgeny Kharlamov:
Addressing the Scalability Bottleneck of Semantic Technologies at Bosch. CoRR abs/2309.10550 (2023) - [i16]Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab:
Robust Knowledge Extraction from Large Language Models using Social Choice Theory. CoRR abs/2312.14877 (2023) - 2022
- [j22]Qinkai Zheng, Xiao Xia, Kun Zhang, Evgeny Kharlamov, Yuxiao Dong:
On the distribution alignment of propagation in graph neural networks. AI Open 3: 218-228 (2022) - [j21]Dumitru Roman, Radu Prodan, Nikolay Nikolov, Ahmet Soylu, Mihhail Matskin, Andrea Marrella, Dragi Kimovski, Brian Elvesæter, Anthony Simonet-Boulogne, Giannis Ledakis, Hui Song, Francesco Leotta, Evgeny Kharlamov:
Big Data Pipelines on the Computing Continuum: Tapping the Dark Data. Computer 55(11): 74-84 (2022) - [j20]Baifan Zhou, Tim Pychynski, Markus Reischl, Evgeny Kharlamov, Ralf Mikut:
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding. J. Intell. Manuf. 33(4): 1139-1163 (2022) - [c140]Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov:
ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. CIKM 2022: 5064-5068 - [c139]Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Ognjen Savkovic, Egor V. Kostylev, Evgeny Kharlamov:
ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction. CIKM 2022: 5074-5078 - [c138]Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov:
Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. CIKM 2022: 5102-5103 - [c137]Evgeny Kharlamov:
Semantic Digital Twins: Trends and Shortcomings (Keynote). SeDiT@ESWC 2022 - [c136]Muhammad Yahya, Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, John G. Breslin, Muhammad Intizar Ali, Evgeny Kharlamov:
Towards Generalized Welding Ontology in Line with ISO and Knowledge Graph Construction. ESWC (Satellite Events) 2022: 83-88 - [c135]Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Ahmet Soylu, Evgeny Kharlamov:
Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping. ESWC (Satellite Events) 2022: 123-128 - [c134]Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Trung-Kien Tran, Daria Stepanova, Mohamed H. Gad-Elrab, Nikolay Nikolov, Ahmet Soylu, Evgeny Kharlamov:
The Data Value Quest: A Holistic Semantic Approach at Bosch. ESWC (Satellite Events) 2022: 287-290 - [c133]Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Egor V. Kostylev, Gong Cheng, Ernesto Jiménez-Ruiz, Ahmet Soylu, Evgeny Kharlamov:
Enhancing Knowledge Graph Generation with Ontology Reshaping - Bosch Case. ESWC (Satellite Events) 2022: 299-302 - [c132]Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Dongzhuoran Zhou, Ognjen Savkovic, Evgeny Kharlamov:
Towards A Visualisation Ontology for Reusable Visual Analytics. IJCKG 2022: 99-103 - [c131]Yuanwei Qu, Baifan Zhou, Evgeny Kharlamov, Martin Giese:
Industrial Geological Information Capture with GeoStructure Ontology. SemIIM 2022 - [c130]Zhuoxun Zheng, Baifan Zhou, Ahmet Soylu, Evgeny Kharlamov:
Towards a Visualisation Ontology for Data Analysis in Industrial Applications. SemIIM 2022 - [c129]Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Akif Quddus Khan, Ahmet Soylu, Evgeny Kharlamov:
Towards A Statistic Ontology for Data Analysis in Smart Manufacturing. ISWC (Posters/Demos/Industry) 2022 - [c128]Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Gong Cheng, Ernesto Jiménez-Ruiz, Egor V. Kostylev, Evgeny Kharlamov:
Ontology Reshaping for Knowledge Graph Construction: Applied on Bosch Welding Case. ISWC 2022: 770-790 - [c127]Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Xianda Zheng, Gong Cheng, Ahmet Soylu, Evgeny Kharlamov:
Executable Knowledge Graphs for Machine Learning: A Bosch Case of Welding Monitoring. ISWC 2022: 791-809 - [c126]Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Dongzhuoran Zhou, Yunjie He, Yuqicheng Zhu, Muhammad Yahya, Trung-Kien Tran, Daria Stepanova, Mohamed H. Gad-Elrab, Evgeny Kharlamov:
Neuro-Symbolic AI at Bosch: Data Foundation, Insights, and Deployment. ISWC (Posters/Demos/Industry) 2022 - [c125]Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Zhipeng Tan, Egor V. Kostylev, Evgeny Kharlamov:
Towards Executable Knowledge Graph Translation. ISWC (Posters/Demos/Industry) 2022 - [c124]Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, Zhipeng Tan, Ognjen Savkovic, Hui Yang, Yujia Zhang, Evgeny Kharlamov:
Knowledge Graph-Based Semantic System for Visual Analytics in Automatic Manufacturing. ISWC (Posters/Demos/Industry) 2022 - [c123]Tengteng Lin, Qiaosheng Chen, Gong Cheng, Ahmet Soylu, Basil Ell, Ruoqi Zhao, Qing Shi, Xiaxia Wang, Yu Gu, Evgeny Kharlamov:
ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval. SIGIR 2022: 2981-2991 - [c122]Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang:
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. WWW 2022: 860-870 - [c121]Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang:
GRAND+: Scalable Graph Random Neural Networks. WWW 2022: 3248-3258 - [e1]Dörthe Arndt, Ahmet Soylu, Jan Vanthienen, Evgeny Kharlamov, Alexander Steen:
Proceedings of the 16th International Rule Challenge and 6th Doctoral Consortium @ RuleML+RR 2022 co-located with 18th Reasoning Web Summer School (RW 2022) and 14th DecisionCAMP 2022 as part of Declarative AI 2022, Berlin, Germany (virtual due to Covid-19 pandemic), 26 - 28 September, 2022. CEUR Workshop Proceedings 3229, CEUR-WS.org 2022 [contents] - [i15]Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang:
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. CoRR abs/2203.01044 (2022) - [i14]Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang:
GRAND+: Scalable Graph Random Neural Networks. CoRR abs/2203.06389 (2022) - [i13]Dongzhuoran Zhou, Baifan Zhou, Jieying Chen, Gong Cheng, Egor V. Kostylev, Evgeny Kharlamov:
Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding. CoRR abs/2209.11067 (2022) - [i12]Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Ahmet Soylu, Evgeny Kharlamov:
Query-based Industrial Analytics over Knowledge Graphs with Ontology Reshaping. CoRR abs/2209.11089 (2022) - 2021
- [j19]Theofilos Mailis, Yannis Kotidis, Stamatis Christoforidis, Evgeny Kharlamov, Yannis E. Ioannidis:
View Selection over Knowledge Graphs in Triple Stores. Proc. VLDB Endow. 14(13): 3281-3294 (2021) - [j18]Baifan Zhou, Yulia Svetashova, Andre Gusmao, Ahmet Soylu, Gong Cheng, Ralf Mikut, Arild Waaler, Evgeny Kharlamov:
SemML: Facilitating development of ML models for condition monitoring with semantics. J. Web Semant. 71: 100664 (2021) - [c120]Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov:
Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. IJCAI 2021: 1555-1562 - [c119]Dumitru Roman, Nikolay Nikolov, Ahmet Soylu, Brian Elvesæter, Hui Song, Radu Prodan, Dragi Kimovski, Andrea Marrella, Francesco Leotta, Mihhail Matskin, Giannis Ledakis, Konstantinos Theodosiou, Anthony Simonet-Boulogne, Fernando Perales, Evgeny Kharlamov, Alexandre Ulisses, Arnor Solberg, Raffaele Ceccarelli:
Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview. ISCC 2021: 1-4 - [c118]Baifan Zhou, Dongzhuoran Zhou, Jieying Chen, Yulia Svetashova, Gong Cheng, Evgeny Kharlamov:
Scaling Usability of ML Analytics with Knowledge Graphs: Exemplified with A Bosch Welding Case. IJCKG 2021: 54-63 - [c117]Dongzhuoran Zhou, Baifan Zhou, Jieying Chen, Gong Cheng, Egor V. Kostylev, Evgeny Kharlamov:
Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding. IJCKG 2021: 145-150 - [c116]Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang:
TDGIA: Effective Injection Attacks on Graph Neural Networks. KDD 2021: 2461-2471 - [c115]Jialin Zhao, Yuxiao Dong, Ming Ding, Evgeny Kharlamov, Jie Tang:
Adaptive Diffusion in Graph Neural Networks. NeurIPS 2021: 23321-23333 - [c114]Xiaxia Wang, Gong Cheng, Tengteng Lin, Jing Xu, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu:
PCSG: Pattern-Coverage Snippet Generation for RDF Datasets. ISWC 2021: 3-20 - [c113]Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Evgeny Kharlamov, Yulin Shen:
Efficient Computation of Semantically Cohesive Subgraphs for Keyword-Based Knowledge Graph Exploration. WWW 2021: 1410-1421 - [i11]Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang:
TDGIA: Effective Injection Attacks on Graph Neural Networks. CoRR abs/2106.06663 (2021) - [i10]Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang:
GCCAD: Graph Contrastive Coding for Anomaly Detection. CoRR abs/2108.07516 (2021) - [i9]Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger:
On Event-Driven Knowledge Graph Completion in Digital Factories. CoRR abs/2109.03655 (2021) - 2020
- [c112]Baifan Zhou, Yulia Svetashova, Seongsu Byeon, Tim Pychynski, Ralf Mikut, Evgeny Kharlamov:
Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study. CIKM 2020: 2933-2940 - [c111]Baifan Zhou, Yulia Svetashova, Tim Pychynski, Ildar Baimuratov, Ahmet Soylu, Evgeny Kharlamov:
SemFE: Facilitating ML Pipeline Development with Semantics. CIKM 2020: 3489-3492 - [c110]Qingxia Liu, Yue Chen, Gong Cheng, Evgeny Kharlamov, Junyou Li, Yuzhong Qu:
Entity Summarization with User Feedback. ESWC 2020: 376-392 - [c109]Henrik Forssell, Evgeny Kharlamov, Evgenij Thorstensen:
On Equivalence and Cores for Incomplete Databases in Open and Closed Worlds. ICDT 2020: 10:1-10:21 - [c108]Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen:
Neural Entity Summarization with Joint Encoding and Weak Supervision. IJCAI 2020: 1644-1650 - [c107]Shuxin Li, Zixian Huang, Gong Cheng, Evgeny Kharlamov, Kalpa Gunaratna:
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs. IJCAI 2020: 1748-1754 - [c106]Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang:
Graph Random Neural Networks for Semi-Supervised Learning on Graphs. NeurIPS 2020 - [c105]Yulia Svetashova, Baifan Zhou, Stefan Schmid, Tim Pychynski, Evgeny Kharlamov:
SemML: Reusable ML for Condition Monitoring in Discrete Manufacturing. ISWC (Demos/Industry) 2020: 213-218 - [c104]Elem Guzel Kalayci, Irlán Grangel-González, Felix Loesch, Guohui Xiao, Anees Mehdi, Evgeny Kharlamov, Diego Calvanese:
Serving Bosch Production Data as Virtual KGs. ISWC (Demos/Industry) 2020: 354-358 - [c103]Baifan Zhou, Yulia Svetashova, Tim Pychynski, Evgeny Kharlamov:
Semantic ML for Manufacturing Monitoring at Bosch. ISWC (Demos/Industry) 2020: 398 - [c102]Elem Güzel Kalayci, Irlán Grangel-González, Felix Lösch, Guohui Xiao, Anees ul Mehdi, Evgeny Kharlamov, Diego Calvanese:
Semantic Integration of Bosch Manufacturing Data Using Virtual Knowledge Graphs. ISWC (2) 2020: 464-481 - [c101]Yulia Svetashova, Baifan Zhou, Tim Pychynski, Stefan Schmidt, York Sure-Vetter, Ralf Mikut, Evgeny Kharlamov:
Ontology-Enhanced Machine Learning: A Bosch Use Case of Welding Quality Monitoring. ISWC (2) 2020: 531-550 - [c100]Yuxuan Shi, Gong Cheng, Evgeny Kharlamov:
Keyword Search over Knowledge Graphs via Static and Dynamic Hub Labelings. WWW 2020: 235-245 - [c99]Gong Cheng, Kalpa Gunaratna, Evgeny Kharlamov:
Entity Summarization in Knowledge Graphs: Algorithms, Evaluation, and Applications. WWW (Companion Volume) 2020: 301-302 - [c98]Trung-Kien Tran, Mohamed H. Gad-Elrab, Daria Stepanova, Evgeny Kharlamov, Jannik Strötgen:
Fast Computation of Explanations for Inconsistency in Large-Scale Knowledge Graphs. WWW 2020: 2613-2619 - [i8]Henrik Forssell, Evgeny Kharlamov, Evgenij Thorstensen:
On Equivalence and Cores for Incomplete Databases in Open and Closed Worlds. CoRR abs/2001.04757 (2020) - [i7]Dmitriy Zheleznyakov, Evgeny Kharlamov, Werner Nutt, Diego Calvanese:
On Expansion and Contraction of DL-Lite Knowledge Bases. CoRR abs/2001.09365 (2020)
2010 – 2019
- 2019
- [j17]Vidar N. Klungre, Ahmet Soylu, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Martin Giese:
Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing. New Gener. Comput. 37(4): 361-392 (2019) - [j16]Evgeny Kharlamov, Gulnar Mehdi, Ognjen Savkovic, Guohui Xiao, Elem Güzel Kalayci, Mikhail Roshchin:
Semantically-enhanced rule-based diagnostics for industrial Internet of Things: The SDRL language and case study for Siemens trains and turbines. J. Web Semant. 56: 11-29 (2019) - [j15]Evgeny Kharlamov, Yannis Kotidis, Theofilos Mailis, Christian Neuenstadt, Charalampos Nikolaou, Özgür L. Özçep, Christoforos Svingos, Dmitriy Zheleznyakov, Yannis E. Ioannidis, Steffen Lamparter, Ralf Möller, Arild Waaler:
An ontology-mediated analytics-aware approach to support monitoring and diagnostics of static and streaming data. J. Web Semant. 56: 30-55 (2019) - [j14]