Evgeny Kharlamov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
60
Venues
25
Active years
2008–2026
Best venue rank
A*
Where they publish
- A*WWW12 papers
- ACIKM12 papers
- A*IJCAI5 papers
- A*KDD4 papers
- A*ACL2 papers
- BEDBT2 papers
- A*EMNLP2 papers
- A*SIGIR2 papers
- AICDT2 papers
- A*SIGMOD2 papers
- AEACL1 paper
- BDaWaK1 paper
- A*ICLR1 paper
- ANAACL1 paper
- CNeSy1 paper
- AECAI1 paper
- BPAKDD1 paper
- CISCC1 paper
- BILP1 paper
- A*AAAI1 paper
- NationalBTW1 paper
- NationalISVC1 paper
- RegionalNordiCHI1 paper
- CMEDES1 paper
- A*KR1 paper
Papers
60 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SCAIR: Schema-Conditioned Agentic Iterative Reasoning for Enterprise Knowledge Graphs. | Prateek Chaturvedi, Yuqicheng Zhu, Hongkuan Zhou, Dongzhuoran Zhou, Yunjie He, Steffen Staab, Fei Du, Jie Tang, Evgeny Kharlamov |
| 2026 | EACL | What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge. | Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, Hongkuan Zhou, Yuan He, Jiaoyan Chen, Steffen Staab, Evgeny Kharlamov |
| 2026 | KDD | DiKGRec: Generative Recommender Model with Diffusion and Knowledge Graph-Based Reasoning. | Zhuoxun Zheng, Baifan Zhou, Ahmet Soylu, Jie Tang, Evgeny Kharlamov |
| 2025 | ACL | Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings. | Yuqicheng Zhu, Daniel Hernndez, Yuan He, Zifeng Ding, Bo Xiong, Evgeny Kharlamov, Steffen Staab |
| 2025 | DaWaK | Graph Constraint Language for Industrial Knowledge Graphs and Machine Learning. | Zhuoxun Zheng, Ognjen Savkovic, Baifan Zhou, Antonis Klironomos, Evgeny Kharlamov, Ahmet Soylu |
| 2025 | EDBT | Towards Hybrid Graphs: Unifying Property Graphs and Time Series. | Mouna Ammar, Christopher Rost, Riccardo Tommasini, Shubhangi Agarwal, Angela Bonifati, Petra Selmer, Evgeny Kharlamov, Erhard Rahm |
| 2025 | EMNLP | Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees. | Yuqicheng Zhu, Jingcheng Wu, Yizhen Wang, Hongkuan Zhou, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab |
| 2025 | ICLR | GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs. | Dongzhuoran Zhou, Evgeny Kharlamov, Egor V. Kostylev |
| 2025 | KDD | GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model. | Yunhe Pang, Bo Chen, Fanjin Zhang, Yanghui Rao, Evgeny Kharlamov, Jie Tang |
| 2025 | NAACL | Conformalized Answer Set Prediction for Knowledge Graph Embedding. | Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab |
| 2025 | NeSy | ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation. | Yuqicheng Zhu, Nico Potyka, Daniel Hernndez, Yuan He, Zifeng Ding, Bo Xiong, Dongzhuoran Zhou, Evgeny Kharlamov, Steffen Staab |
| 2025 | WWW | DAGE: DAG Query Answering via Relational Combinator with Logical Constraints. | Yunjie He, Bo Xiong, Daniel Hernndez, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab |
| 2025 | WWW | Integrating Large Language Models and Knowledge Graphs for Next-level AGI. | Linhao Luo, Carl Yang, Evgeny Kharlamov, Shirui Pan |
| 2024 | ECAI | Generating SROI | Yunjie He, Daniel Hernndez, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab |
| 2024 | EMNLP | Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction. | Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab |
| 2024 | KDD | Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. | Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang |
| 2024 | PAKDD | Alleviating Over-Smoothing via Aggregation over Compact Manifolds. | Dongzhuoran Zhou, Hui Yang, Bo Xiong, Yue Ma, Evgeny Kharlamov |
| 2024 | SIGIR | ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries. | Qiaosheng Chen, Weiqing Luo, Zixian Huang, Tengteng Lin, Xiaxia Wang, Ahmet Soylu, Basil Ell, Baifan Zhou, Evgeny Kharlamov, Gong Cheng |
| 2023 | WWW | GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. | Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang |
| 2023 | WWW | ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. | Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang |
| 2022 | CIKM | ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. | Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov |
| 2022 | CIKM | Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. | Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov |
| 2022 | CIKM | ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction. | Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Ognjen Savkovic, Egor V. Kostylev, Evgeny Kharlamov |
| 2022 | WWW | GRAND+: Scalable Graph Random Neural Networks. | Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang |
| 2022 | WWW | SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. | Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang |
| 2022 | SIGIR | ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval. | Tengteng Lin, Qiaosheng Chen, Gong Cheng, Ahmet Soylu, Basil Ell, Ruoqi Zhao, Qing Shi, Xiaxia Wang, Yu Gu, Evgeny Kharlamov |
| 2021 | IJCAI | Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. | Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov |
| 2021 | ISCC | Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview. | Dumitru Roman, Nikolay Nikolov, Ahmet Soylu, Brian Elvester, 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 |
| 2021 | KDD | TDGIA: Effective Injection Attacks on Graph Neural Networks. | Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang |
| 2021 | WWW | Efficient Computation of Semantically Cohesive Subgraphs for Keyword-Based Knowledge Graph Exploration. | Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Evgeny Kharlamov, Yulin Shen |
| 2020 | CIKM | Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study. | Baifan Zhou, Yulia Svetashova, Seongsu Byeon, Tim Pychynski, Ralf Mikut, Evgeny Kharlamov |
| 2020 | CIKM | SemFE: Facilitating ML Pipeline Development with Semantics. | Baifan Zhou, Yulia Svetashova, Tim Pychynski, Ildar Baimuratov, Ahmet Soylu, Evgeny Kharlamov |
| 2020 | ICDT | On Equivalence and Cores for Incomplete Databases in Open and Closed Worlds. | Henrik Forssell, Evgeny Kharlamov, Evgenij Thorstensen |
| 2020 | IJCAI | Neural Entity Summarization with Joint Encoding and Weak Supervision. | Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen |
| 2020 | IJCAI | Enriching Documents with Compact, Representative, Relevant Knowledge Graphs. | Shuxin Li, Zixian Huang, Gong Cheng, Evgeny Kharlamov, Kalpa Gunaratna |
| 2020 | WWW | Entity Summarization in Knowledge Graphs: Algorithms, Evaluation, and Applications. | Gong Cheng, Kalpa Gunaratna, Evgeny Kharlamov |
| 2020 | WWW | Keyword Search over Knowledge Graphs via Static and Dynamic Hub Labelings. | Yuxuan Shi, Gong Cheng, Evgeny Kharlamov |
| 2020 | WWW | Fast Computation of Explanations for Inconsistency in Large-Scale Knowledge Graphs. | Trung-Kien Tran, Mohamed H. Gad-Elrab, Daria Stepanova, Evgeny Kharlamov, Jannik Strtgen |
| 2019 | CIKM | Towards More Usable Dataset Search: From Query Characterization to Snippet Generation. | Jinchi Chen, Xiaxia Wang, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu |
| 2019 | CIKM | MiCRon: Making Sense of News via Relationship Subgraphs. | Zixian Huang, Shuxin Li, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu |
| 2019 | SIGMOD | An Efficient Index for RDF Query Containment. | Theofilos Mailis, Yannis Kotidis, Vaggelis Nikolopoulos, Evgeny Kharlamov, Ian Horrocks, Yannis E. Ioannidis |
| 2018 | ILP | Diagnostics of Trains with Semantic Diagnostics Rules. | Evgeny Kharlamov, Ognjen Savkovic, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Gzel Kalayci, Werner Nutt, Mikhail Roshchin, Ian Horrocks, Thomas A. Runkler |
| 2017 | AAAI | Trust-Sensitive Evolution of DL-Lite Knowledge Bases. | Dmitriy Zheleznyakov, Evgeny Kharlamov, Ian Horrocks |
| 2017 | BTW | IncMap: A Journey towards Ontology-based Data Integration. | Christoph Pinkel, Carsten Binnig, Ernesto Jimnez-Ruiz, Evgeny Kharlamov, Andriy Nikolov, Andreas Schwarte, Christian Heupel, Tim Kraska |
| 2017 | CIKM | SemFacet: Making Hard Faceted Search Easier. | Evgeny Kharlamov, Luca Giacomelli, Evgeny Sherkhonov, Bernardo Cuenca Grau, Egor V. Kostylev, Ian Horrocks |
| 2017 | CIKM | Semantic Rules for Machine Diagnostics: Execution and Management. | Evgeny Kharlamov, Ognjen Savkovic, Guohui Xiao, Rafael Pealoza, Gulnar Mehdi, Mikhail Roshchin, Ian Horrocks |
| 2017 | CIKM | SemDia: Semantic Rule-Based Equipment Diagnostics Tool. | Gulnar Mehdi, Evgeny Kharlamov, Ognjen Savkovic, Guohui Xiao, Elem Gzel Kalayci, Sebastian Brandt, Ian Horrocks, Mikhail Roshchin, Thomas A. Runkler |
| 2016 | SIGMOD | Ontology-Based Integration of Streaming and Static Relational Data with Optique. | Evgeny Kharlamov, Sebastian Brandt, Ernesto Jimnez-Ruiz, Yannis Kotidis, Steffen Lamparter, Theofilos Mailis, Christian Neuenstadt, zgr L. zep, Christoph Pinkel, Christoforos Svingos, Dmitriy Zheleznyakov, Ian Horrocks, Yannis E. Ioannidis, Ralf Mller |
| 2015 | IJCAI | Controlled Query Evaluation for Datalog and OWL 2 Profile Ontologies. | Bernardo Cuenca Grau, Evgeny Kharlamov, Egor V. Kostylev, Dmitriy Zheleznyakov |
| 2015 | ISVC | Ontology-Based Visual Query Formulation: An Industry Experience. | Ahmet Soylu, Evgeny Kharlamov, Dmitriy Zheleznyakov, Ernesto Jimnez-Ruiz, Martin Giese, Ian Horrocks |
| 2014 | CIKM | Faceted Search over Ontology-Enhanced RDF Data. | Marcelo Arenas, Bernardo Cuenca Grau, Evgeny Kharlamov, Sarunas Marciuska, Dmitriy Zheleznyakov |
| 2014 | NordiCHI | Why not simply Google? | Ahmet Soylu, Martin Giese, Ernesto Jimnez-Ruiz, Evgeny Kharlamov, Dmitriy Zheleznyakov, Ian Horrocks |
| 2014 | WWW | Towards semantic faceted search. | Marcelo Arenas, Bernardo Cuenca Grau, Evgeny Kharlamov, Sarunas Marciuska, Dmitriy Zheleznyakov |
| 2014 | WWW | SemFacet: semantic faceted search over yago. | Marcelo Arenas, Bernardo Cuenca Grau, Evgeny Kharlamov, Sarunas Marciuska, Dmitriy Zheleznyakov, Ernesto Jimnez-Ruiz |
| 2013 | IJCAI | Verification of Inconsistency-Aware Knowledge and Action Bases. | Diego Calvanese, Evgeny Kharlamov, Marco Montali, Ario Santoso, Dmitriy Zheleznyakov |
| 2013 | MEDES | OptiqueVQS: towards an ontology-based visual query system for big data. | Ahmet Soylu, Martin Giese, Ernesto Jimnez-Ruiz, Evgeny Kharlamov, Dmitriy Zheleznyakov, Ian Horrocks |
| 2012 | EDBT | QUASAR: querying annotation, structure, and reasoning. | Luying Chen, Michael Benedikt, Evgeny Kharlamov |
| 2012 | KR | Ontology Evolution Under Semantic Constraints. | Bernardo Cuenca Grau, Ernesto Jimnez-Ruiz, Evgeny Kharlamov, Dmitriy Zheleznyakov |
| 2010 | ICDT | Aggregate queries for discrete and continuous probabilistic XML. | Serge Abiteboul, T.-H. Hubert Chan, Evgeny Kharlamov, Werner Nutt, Pierre Senellart |
| 2008 | CIKM | Aggregate queries over ontologies. | Diego Calvanese, Evgeny Kharlamov, Werner Nutt, Camilo Thorne |