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2020 – today
- 2024
[c28]Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras:
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. ACL (1) 2024: 12859-12870- [i36]Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras:
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. CoRR abs/2402.15491 (2024) - [i35]Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR abs/2405.04324 (2024) - [i34]Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR abs/2407.00121 (2024) - [i33]Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh
, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas:
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes. CoRR abs/2407.01619 (2024) - [i32]Kinjal Basu, Ibrahim Abdelaziz, Kelsey Bradford, Maxwell Crouse, Kiran Kate, Sadhana Kumaravel, Saurabh Goyal, Asim Munawar, Yara Rizk, Xin Wang, Luis A. Lastras, Pavan Kapanipathi:
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. CoRR abs/2409.03797 (2024) - 2023
- [j12]Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austel, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue:
Learning to Guide a Saturation-Based Theorem Prover. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 738-751 (2023) - [j11]Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas:
DataRinse: Semantic Transforms for Data preparation based on Code Mining. Proc. VLDB Endow. 16(12): 4090-4093 (2023) - [c27]Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray:
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. ACL (Findings) 2023: 4485-4503 - [c26]Shajith Ikbal, Udit Sharma, Hima Karanam, Sumit Neelam, Ronny Luss, Dheeraj Sreedhar, Pavan Kapanipathi, Naweed Khan, Kyle Erwin, Ndivhuwo Makondo, Ibrahim Abdelaziz, Achille Fokoue, Alexander Gray, Maxwell Crouse, Subhajit Chaudhury, Chitra Subramanian:
Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge. EMNLP (Findings) 2023: 1707-1718 - [c25]Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu:
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations. IJCAI 2023: 3221-3229 - [c24]Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas:
SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. IJCAI 2023: 7106-7109 - [i31]Wenting Zhao, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas, Mossad Helali, Essam Mansour:
Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning. CoRR abs/2301.05108 (2023) - [i30]Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu:
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations. CoRR abs/2305.08676 (2023) - [i29]Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray:
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. CoRR abs/2306.10452 (2023) - [i28]Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz:
LakeBench: Benchmarks for Data Discovery over Data Lakes. CoRR abs/2307.04217 (2023) - [i27]Maxwell Crouse, Ibrahim Abdelaziz, Kinjal Basu, Soham Dan, Sadhana Kumaravel, Achille Fokoue, Pavan Kapanipathi, Luis A. Lastras:
Formally Specifying the High-Level Behavior of LLM-Based Agents. CoRR abs/2310.08535 (2023) - 2022
- [j10]Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
A Scalable AutoML Approach Based on Graph Neural Networks. Proc. VLDB Endow. 15(11): 2428-2436 (2022) - [c23]Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas:
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. AAAI 2022: 4415-4423 - [c22]Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray:
Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. EMNLP 2022: 3863-3875 - [c21]Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases. EMNLP (Findings) 2022: 3866-3879 - [c20]Srinivas Ravishankar, Dung Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue:
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. EMNLP (Findings) 2022: 5571-5580 - [i26]Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. CoRR abs/2201.05793 (2022) - [i25]Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
Large Scale Generation of Labeled Type Data for Python. CoRR abs/2201.12242 (2022) - [i24]Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz, Mudit Chaudhary, Nandana Mihindukulasooriya, Tahira Naseem, Rajarshi Das, Pavan Kapanipathi, Achille Fokoue, Andrew McCallum:
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases. CoRR abs/2204.08554 (2022) - [i23]Sumit Neelam, Udit Sharma, Sumit Bhatia, Hima Karanam, Ankita Likhyani, Ibrahim Abdelaziz, Achille Fokoue, L. Venkata Subramaniam:
Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases. CoRR abs/2209.05828 (2022) - 2021
- [c19]Maxwell Crouse, Constantine Nakos, Ibrahim Abdelaziz, Kenneth D. Forbus:
Neural Analogical Matching. AAAI 2021: 809-817 - [c18]Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue:
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. AAAI 2021: 6279-6287 - [c17]Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray:
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. AAAI 2021: 15985-15987 - [c16]Tahira Naseem, Srinivas Ravishankar, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Young-Suk Lee, Pavan Kapanipathi, Salim Roukos, Alfio Gliozzo, Alexander G. Gray:
A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering. ACL/IJCNLP (2) 2021: 256-262 - [c15]Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu:
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. ACL/IJCNLP (Findings) 2021: 3884-3894 - [c14]Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas:
A Toolkit for Generating Code Knowledge Graphs. K-CAP 2021: 137-144 - [c13]Gaetano Rossiello, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Mihaela A. Bornea, Alfio Gliozzo, Tahira Naseem, Pavan Kapanipathi:
Generative Relation Linking for Question Answering over Knowledge Bases. ISWC 2021: 321-337 - [i22]Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue:
Learning to Guide a Saturation-Based Theorem Prover. CoRR abs/2106.03906 (2021) - [i21]Gaetano Rossiello, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Mihaela A. Bornea, Alfio Gliozzo, Tahira Naseem, Pavan Kapanipathi:
Generative Relation Linking for Question Answering over Knowledge Bases. CoRR abs/2108.07337 (2021) - [i20]Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas:
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. CoRR abs/2109.07452 (2021) - [i19]Prithviraj Sen, Breno W. S. R. Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Francois P. S. Luus, Salim Roukos, Alexander G. Gray:
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion. CoRR abs/2109.09566 (2021) - [i18]Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. CoRR abs/2109.13430 (2021) - [i17]Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
A Scalable AutoML Approach Based on Graph Neural Networks. CoRR abs/2111.00083 (2021) - [i16]Srinivas Ravishankar, June Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue:
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. CoRR abs/2111.05825 (2021) - [i15]Mihaela Bornea, Ramón Fernandez Astudillo, Tahira Naseem, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Pavan Kapanipathi, Radu Florian, Salim Roukos:
Learning to Transpile AMR into SPARQL. CoRR abs/2112.07877 (2021) - 2020
- [c12]Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue:
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. AAAI 2020: 8074-8081 - [c11]Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, Didier Stricker:
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map. CVPR 2020: 7111-7120 - [c10]Ibrahim Abdelaziz, Kavitha Srinivas, Julian Dolby, Jamie P. McCusker:
A Demonstration of CodeBreaker: A Machine Interpretable Knowledge Graph for Code. ISWC (Demos/Industry) 2020: 266-271 - [c9]Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray:
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. ISWC (1) 2020: 402-419 - [i14]Ibrahim Abdelaziz, Veronika Thost, Maxwell Crouse, Achille Fokoue:
An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic. CoRR abs/2002.00423 (2020) - [i13]Bassem Makni, Ibrahim Abdelaziz, James A. Hendler:
Explainable Deep RDFS Reasoner. CoRR abs/2002.03514 (2020) - [i12]Kavitha Srinivas, Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker:
Graph4Code: A Machine Interpretable Knowledge Graph for Code. CoRR abs/2002.09440 (2020) - [i11]Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, Didier Stricker:
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map. CoRR abs/2004.01588 (2020) - [i10]Maxwell Crouse, Constantine Nakos, Ibrahim Abdelaziz, Kenneth D. Forbus:
Neural Analogical Matching. CoRR abs/2004.03573 (2020) - [i9]Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray:
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. CoRR abs/2009.07726 (2020) - [i8]Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu:
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. CoRR abs/2012.01707 (2020)
2010 – 2019
- 2019
- [c8]Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. AAAI 2019: 7208-7215 - [c7]Ehab Abdelhamid, Ibrahim Abdelaziz, Zuhair Khayyat, Panos Kalnis:
Pivoted Subgraph Isomorphism: The Optimist, the Pessimist and the Realist. EDBT 2019: 361-372 - [c6]Fuad T. Jamour, Ibrahim Abdelaziz, Yuanzhao Chen, Panos Kalnis:
Matrix Algebra Framework for Portable, Scalable and Efficient Query Engines for RDF Graphs. EuroSys 2019: 27:1-27:15 - [i7]Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue:
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. CoRR abs/1911.02060 (2019) - [i6]Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue:
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. CoRR abs/1911.02065 (2019) - [i5]Maxwell Crouse, Ibrahim Abdelaziz, Cristina Cornelio, Veronika Thost, Lingfei Wu, Kenneth D. Forbus, Achille Fokoue:
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling. CoRR abs/1911.06904 (2019) - 2018
- [b2]Ibrahim Abdelaziz:
Scalable Discovery and Analytics on Web Linked Data. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, 2018 - [j9]Fuad T. Jamour, Ibrahim Abdelaziz, Panos Kalnis:
A Demonstration of MAGiQ: Matrix Algebra Approach for Solving RDF Graph Queries. Proc. VLDB Endow. 11(12): 1978-1981 (2018) - [i4]Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. CoRR abs/1809.05724 (2018) - 2017
- [j8]Ibrahim Abdelaziz, Razen Harbi, Zuhair Khayyat, Panos Kalnis:
A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data. Proc. VLDB Endow. 10(13): 2049-2060 (2017) - [j7]Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis:
Lusail: A System for Querying Linked Data at Scale. Proc. VLDB Endow. 11(4): 485-498 (2017) - [j6]Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, Panos Kalnis:
Combining Vertex-Centric Graph Processing with SPARQL for Large-Scale RDF Data Analytics. IEEE Trans. Parallel Distributed Syst. 28(12): 3374-3388 (2017) - [j5]Ibrahim Abdelaziz, Achille Fokoue, Oktie Hassanzadeh, Ping Zhang, Mohammad Sadoghi:
Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions. J. Web Semant. 44: 104-117 (2017) - [c5]Amedeo Sapio, Ibrahim Abdelaziz, Marco Canini, Panos Kalnis:
DAIET: a system for data aggregation inside the network. SoCC 2017: 626 - [c4]Amedeo Sapio, Ibrahim Abdelaziz, Abdulla Aldilaijan, Marco Canini, Panos Kalnis:
In-Network Computation is a Dumb Idea Whose Time Has Come. HotNets 2017: 150-156 - [c3]Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis:
Query Optimizations over Decentralized RDF Graphs. ICDE 2017: 139-142 - [c2]Essam Mansour, Ibrahim Abdelaziz, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis:
A Demonstration of Lusail: Querying Linked Data at Scale. SIGMOD Conference 2017: 1603-1606 - 2016
- [b1]Sherif Sakr, Faisal Moeen Orakzai, Ibrahim Abdelaziz, Zuhair Khayyat:
Large-Scale Graph Processing Using Apache Giraph. Springer 2016, ISBN 978-3-319-47430-4 - [j4]Ibrahim Abdelaziz, Sherif M. Abdou, Hassanin M. Al-Barhamtoshy:
A large vocabulary system for Arabic online handwriting recognition. Pattern Anal. Appl. 19(4): 1129-1141 (2016) - [j3]Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli:
Accelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning. VLDB J. 25(3): 355-380 (2016) - [c1]Ehab Abdelhamid, Ibrahim Abdelaziz, Panos Kalnis, Zuhair Khayyat, Fuad T. Jamour:
Scalemine: scalable parallel frequent subgraph mining in a single large graph. SC 2016: 716-727 - 2015
- [j2]Razen Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis:
Evaluating SPARQL Queries on Massive RDF Datasets. Proc. VLDB Endow. 8(12): 1848-1851 (2015) - [j1]Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, Panos Kalnis, Nikos Mamoulis:
SPARTex: A Vertex-Centric Framework for RDF Data Analytics. Proc. VLDB Endow. 8(12): 1880-1883 (2015) - [i3]Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli:
Adaptive Partitioning for Very Large RDF Data. CoRR abs/1505.02728 (2015) - 2014
- [i2]Ibrahim Abdelaziz, Sherif M. Abdou, Hassanin M. Al-Barhamtoshy:
Large Vocabulary Arabic Online Handwriting Recognition System. CoRR abs/1410.4688 (2014) - [i1]Ibrahim Abdelaziz, Sherif M. Abdou:
AltecOnDB: A Large-Vocabulary Arabic Online Handwriting Recognition Database. CoRR abs/1412.7626 (2014)
Coauthor Index
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the dblp computer science bibliography is funded and supported by:
