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Pivoted Subgraph Isomorphism: The Optimist, the Pessimist and the Realist.

, , , and . EDBT, page 361-372. OpenProceedings.org, (2019)

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Neural Analogical Matching., , , and . CoRR, (2020)Formally Specifying the High-Level Behavior of LLM-Based Agents., , , , , , , and . CoRR, (2023)Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding., , , and . AAAI, page 4415-4423. AAAI Press, (2022)A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering., , , , and . AAAI, page 15985-15987. AAAI Press, (2021)A Toolkit for Generating Code Knowledge Graphs., , , and . K-CAP, page 137-144. ACM, (2021)MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types., , , , , , , , , and 2 other author(s). ACL (Findings), page 4485-4503. Association for Computational Linguistics, (2023)Pivoted Subgraph Isomorphism: The Optimist, the Pessimist and the Realist., , , and . EDBT, page 361-372. OpenProceedings.org, (2019)Scalemine: scalable parallel frequent subgraph mining in a single large graph., , , , and . SC, page 716-727. IEEE Computer Society, (2016)A Demonstration of Lusail: Querying Linked Data at Scale., , , , and . SIGMOD Conference, page 1603-1606. ACM, (2017)SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases., , , , , , , , , and 15 other author(s). EMNLP (Findings), page 3866-3879. Association for Computational Linguistics, (2022)