Ibrahim Abdelaziz
Orcid: 0000-0003-1449-5115
According to our database1,
Ibrahim Abdelaziz
authored at least 68 papers
between 2014 and 2024.
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Bibliography
2024
CoRR, 2024
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes.
CoRR, 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Proc. VLDB Endow., 2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning.
CoRR, 2023
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases.
CoRR, 2022
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases.
CoRR, 2022
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases.
CoRR, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021
Proceedings of the K-CAP '21: Knowledge Capture Conference, 2021
A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning.
CoRR, 2020
An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic.
CoRR, 2020
Proceedings of the Semantic Web - ISWC 2020, 2020
Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling.
CoRR, 2019
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies.
CoRR, 2019
Matrix Algebra Framework for Portable, Scalable and Efficient Query Engines for RDF Graphs.
Proceedings of the Fourteenth EuroSys Conference 2019, Dresden, Germany, March 25-28, 2019, 2019
Proceedings of the Advances in Database Technology, 2019
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proc. VLDB Endow., 2018
2017
Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions.
J. Web Semant., 2017
Combining Vertex-Centric Graph Processing with SPARQL for Large-Scale RDF Data Analytics.
IEEE Trans. Parallel Distributed Syst., 2017
A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data.
Proc. VLDB Endow., 2017
Proceedings of the 2017 ACM International Conference on Management of Data, 2017
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Palo Alto, CA, USA, 2017
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017
2016
Accelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning.
VLDB J., 2016
Pattern Anal. Appl., 2016
Proceedings of the International Conference for High Performance Computing, 2016
Springer, ISBN: 978-3-319-47431-1, 2016
2015
2014
CoRR, 2014