Ibrahim Abdelaziz

88 papers A* 13A 2B 2Misc 2Journal 53Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs. EACL (Volume 1: Long Papers) Hussein Abdallah, Ibrahim Abdelaziz, Panos Kalnis, Essam Mansour
2026	J	`jnl`	Simulating Complex Multi-Turn Tool Calling Interactions in Stateless Execution Environments. CoRR Maxwell Crouse, Ibrahim Abdelaziz, Kshitij Fadnis, Siva Sankalp Patel, Kinjal Basu, Chulaka Gunasekara, Sadhana Kumaravel, Asim Munawar, Pavan Kapanipathi
2025	J	`jnl`	Chatty-KG: A Multi-Agent AI System for On-Demand Conversational Question Answering over Knowledge Graphs. CoRR Reham Omar, Abdelghny Orogat, Ibrahim Abdelaziz, Omij Mangukiya, Panos Kalnis, Essam Mansour
2025	J	`jnl`	LongFuncEval: Measuring the effectiveness of long context models for function calling. CoRR Kiran Kate, Tejaswini Pedapati, Kinjal Basu, Yara Rizk, Vijil Chenthamarakshan, Subhajit Chaudhury, Mayank Agarwal, Ibrahim Abdelaziz
2025	A*	`conf`	NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. EMNLP Kinjal Basu, Ibrahim Abdelaziz, Kiran Kate, Mayank Agarwal, Maxwell Crouse, Yara Rizk, Kelsey Bradford, Asim Munawar, Sadhana Kumaravel, Saurabh Goyal, Xin Wang, Luis A. Lastras, Pavan Kapanipathi
2025	J	`jnl`	R2D2: Remembering, Reflecting and Dynamic Decision Making for Web Agents. CoRR Tenghao Huang, Kinjal Basu, Ibrahim Abdelaziz, Pavan Kapanipathi, Jonathan May, Muhao Chen
2025	—	`conf`	R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory. ACL (1) Tenghao Huang, Kinjal Basu, Ibrahim Abdelaziz, Pavan Kapanipathi, Jonathan May, Muhao Chen
2025	A*	`conf`	TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery Over Data Lakes. ICDE Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
2025	J	`jnl`	ToolRM: Outcome Reward Models for Tool-Calling Large Language Models. CoRR Mayank Agarwal, Ibrahim Abdelaziz, Kinjal Basu, Merve Unuvar, Luis A. Lastras, Yara Rizk, Pavan Kapanipathi
2024	—	`conf`	API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. ACL (1) Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
2024	J	`jnl`	API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. CoRR Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
2024	J	`jnl`	Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR 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, Syed 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
2024	—	`conf`	Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. EMNLP (Industry Track) Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachindra 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
2024	J	`jnl`	Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, R. 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
2024	J	`jnl`	NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. CoRR 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
2024	J	`jnl`	TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes. CoRR Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
2023	A*	`conf`	An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations. IJCAI Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu
2023	J	`jnl`	An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations. CoRR Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu
2023	J	`jnl`	DataRinse: Semantic Transforms for Data preparation based on Code Mining. Proc. VLDB Endow. Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas
2023	J	`jnl`	Formally Specifying the High-Level Behavior of LLM-Based Agents. CoRR Maxwell Crouse, Ibrahim Abdelaziz, Kinjal Basu, Soham Dan, Sadhana Kumaravel, Achille Fokoue, Pavan Kapanipathi, Luis A. Lastras
2023	J	`jnl`	LakeBench: Benchmarks for Data Discovery over Data Lakes. CoRR Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz
2023	J	`jnl`	Learning to Guide a Saturation-Based Theorem Prover. IEEE Trans. Pattern Anal. Mach. Intell. Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austel, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
2023	—	`conf`	MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. ACL (Findings) 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
2023	J	`jnl`	MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. CoRR 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
2023	—	`conf`	Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge. EMNLP (Findings) 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
2023	A*	`conf`	SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. IJCAI Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas
2023	J	`jnl`	Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning. CoRR Wenting Zhao, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas, Mossad Helali, Essam Mansour
2022	J	`jnl`	A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. CoRR 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
2022	J	`jnl`	A Scalable AutoML Approach Based on Graph Neural Networks. Proc. VLDB Endow. Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas
2022	—	`conf`	A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. EMNLP (Findings) Srinivas Ravishankar, Dung Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue
2022	J	`jnl`	CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases. CoRR Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz, Mudit Chaudhary, Nandana Mihindukulasooriya, Tahira Naseem, Rajarshi Das, Pavan Kapanipathi, Achille Fokoue, Andrew McCallum
2022	A*	`conf`	Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. AAAI Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas
2022	J	`jnl`	Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases. CoRR Sumit Neelam, Udit Sharma, Sumit Bhatia, Hima Karanam, Ankita Likhyani, Ibrahim Abdelaziz, Achille Fokoue, L. Venkata Subramaniam
2022	J	`jnl`	Large Scale Generation of Labeled Type Data for Python. CoRR Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas
2022	A*	`conf`	Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. EMNLP Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
2022	—	`conf`	SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases. EMNLP (Findings) 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
2021	A*	`conf`	A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. AAAI Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
2021	J	`jnl`	A Scalable AutoML Approach Based on Graph Neural Networks. CoRR Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas
2021	A*	`conf`	A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. AAAI Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
2021	—	`conf`	A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering. ACL/IJCNLP (2) Tahira Naseem, Srinivas Ravishankar, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Young-Suk Lee, Pavan Kapanipathi, Salim Roukos, Alfio Gliozzo, Alexander G. Gray
2021	B	`conf`	A Toolkit for Generating Code Knowledge Graphs. K-CAP Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas
2021	J	`jnl`	A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. CoRR Srinivas Ravishankar, June Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue
2021	J	`jnl`	Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. CoRR Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas
2021	J	`jnl`	Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion. CoRR Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Francois P. S. Luus, Salim Roukos, Alexander G. Gray
2021	Misc	`conf`	Generative Relation Linking for Question Answering over Knowledge Bases. ISWC Gaetano Rossiello, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Mihaela A. Bornea, Alfio Gliozzo, Tahira Naseem, Pavan Kapanipathi
2021	J	`jnl`	Generative Relation Linking for Question Answering over Knowledge Bases. CoRR Gaetano Rossiello, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Mihaela A. Bornea, Alfio Gliozzo, Tahira Naseem, Pavan Kapanipathi
2021	J	`jnl`	Learning to Guide a Saturation-Based Theorem Prover. CoRR Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
2021	J	`jnl`	Learning to Transpile AMR into SPARQL. CoRR Mihaela A. Bornea, Ramón Fernandez Astudillo, Tahira Naseem, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Pavan Kapanipathi, Radu Florian, Salim Roukos
2021	—	`conf`	Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. ACL/IJCNLP (Findings) 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
2021	A*	`conf`	Neural Analogical Matching. AAAI Maxwell Crouse, Constantine Nakos, Ibrahim Abdelaziz, Kenneth D. Forbus
2021	J	`jnl`	SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. CoRR 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
2020	—	`conf`	A Demonstration of CodeBreaker: A Machine Interpretable Knowledge Graph for Code. ISWC (Demos/Industry) Ibrahim Abdelaziz, Kavitha Srinivas, Julian Dolby, Jamie P. McCusker
2020	J	`jnl`	An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic. CoRR Ibrahim Abdelaziz, Veronika Thost, Maxwell Crouse, Achille Fokoue
2020	J	`jnl`	Explainable Deep RDFS Reasoner. CoRR Bassem Makni, Ibrahim Abdelaziz, James A. Hendler
2020	J	`jnl`	Graph4Code: A Machine Interpretable Knowledge Graph for Code. CoRR Kavitha Srinivas, Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker
2020	A*	`conf`	HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map. CVPR Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, Didier Stricker
2020	J	`jnl`	HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map. CoRR Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, Didier Stricker
2020	A*	`conf`	Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. AAAI 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
2020	—	`conf`	Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. ISWC (1) Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
2020	J	`jnl`	Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. CoRR Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
2020	J	`jnl`	Neural Analogical Matching. CoRR Maxwell Crouse, Constantine Nakos, Ibrahim Abdelaziz, Kenneth D. Forbus
2020	J	`jnl`	Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. CoRR 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
2019	J	`jnl`	A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. CoRR Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
2019	J	`jnl`	Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling. CoRR Maxwell Crouse, Ibrahim Abdelaziz, Cristina Cornelio, Veronika Thost, Lingfei Wu, Kenneth D. Forbus, Achille Fokoue
2019	A*	`conf`	Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. AAAI Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
2019	J	`jnl`	Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. CoRR 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
2019	A	`conf`	Matrix Algebra Framework for Portable, Scalable and Efficient Query Engines for RDF Graphs. EuroSys Fuad T. Jamour, Ibrahim Abdelaziz, Yuanzhao Chen, Panos Kalnis
2019	B	`conf`	Pivoted Subgraph Isomorphism: The Optimist, the Pessimist and the Realist. EDBT Ehab Abdelhamid, Ibrahim Abdelaziz, Zuhair Khayyat, Panos Kalnis
2018	J	`jnl`	A Demonstration of MAGiQ: Matrix Algebra Approach for Solving RDF Graph Queries. Proc. VLDB Endow. Fuad T. Jamour, Ibrahim Abdelaziz, Panos Kalnis
2018	J	`jnl`	Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. CoRR Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
2018	—	`—`	Scalable Discovery and Analytics on Web Linked Data. Ibrahim Abdelaziz
2017	—	`conf`	A Demonstration of Lusail: Querying Linked Data at Scale. SIGMOD Conference Essam Mansour, Ibrahim Abdelaziz, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis
2017	J	`jnl`	A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data. Proc. VLDB Endow. Ibrahim Abdelaziz, Razen Harbi, Zuhair Khayyat, Panos Kalnis
2017	J	`jnl`	Combining Vertex-Centric Graph Processing with SPARQL for Large-Scale RDF Data Analytics. IEEE Trans. Parallel Distributed Syst. Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, Panos Kalnis
2017	—	`conf`	DAIET: a system for data aggregation inside the network. SoCC Amedeo Sapio, Ibrahim Abdelaziz, Marco Canini, Panos Kalnis
2017	Misc	`conf`	In-Network Computation is a Dumb Idea Whose Time Has Come. HotNets Amedeo Sapio, Ibrahim Abdelaziz, Abdulla Aldilaijan, Marco Canini, Panos Kalnis
2017	J	`jnl`	Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions. J. Web Semant. Ibrahim Abdelaziz, Achille Fokoue, Oktie Hassanzadeh, Ping Zhang, Mohammad Sadoghi
2017	J	`jnl`	Lusail: A System for Querying Linked Data at Scale. Proc. VLDB Endow. Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis
2017	A*	`conf`	Query Optimizations over Decentralized RDF Graphs. ICDE Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis
2016	J	`jnl`	A large vocabulary system for Arabic online handwriting recognition. Pattern Anal. Appl. Ibrahim Abdelaziz, Sherif M. Abdou, Hassanin M. Al-Barhamtoshy
2016	J	`jnl`	Accelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning. VLDB J. Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli
2016	—	`book`	Large-Scale Graph Processing Using Apache Giraph Sherif Sakr, Faisal Moeen Orakzai, Ibrahim Abdelaziz, Zuhair Khayyat
2016	A	`conf`	Scalemine: scalable parallel frequent subgraph mining in a single large graph. SC Ehab Abdelhamid, Ibrahim Abdelaziz, Panos Kalnis, Zuhair Khayyat, Fuad T. Jamour
2015	J	`jnl`	Adaptive Partitioning for Very Large RDF Data. CoRR Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli
2015	J	`jnl`	Evaluating SPARQL Queries on Massive RDF Datasets. Proc. VLDB Endow. Razen Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis
2015	J	`jnl`	SPARTex: A Vertex-Centric Framework for RDF Data Analytics. Proc. VLDB Endow. Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, Panos Kalnis, Nikos Mamoulis
2014	J	`jnl`	AltecOnDB: A Large-Vocabulary Arabic Online Handwriting Recognition Database. CoRR Ibrahim Abdelaziz, Sherif M. Abdou
2014	J	`jnl`	Large Vocabulary Arabic Online Handwriting Recognition System. CoRR Ibrahim Abdelaziz, Sherif M. Abdou, Hassanin M. Al-Barhamtoshy