Panos Kalnis

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 66

Top Venues

Proc. VLDB Endow.

ICDE

CoRR

IEEE Trans. Knowl. Data Eng.

Publications

Hussein Abdallah, Waleed Afandi, Panos Kalnis, Essam Mansour
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling. CoRR (2024)
Chenhao Wang, Lisi Chen, Shuo Shang, Christian S. Jensen, Panos Kalnis
Multi-Scale Detection of Anomalous Spatio-Temporal Trajectories in Evolving Trajectory Datasets. KDD (2024)
Hussein Abdallah, Waleed Afandi, Panos Kalnis, Essam Mansour
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling. ICDE (2024)
Reham Omar, Omij Mangukiya, Panos Kalnis, Essam Mansour
ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots. CoRR (2023)
Reham Omar, Ishika Dhall, Panos Kalnis, Essam Mansour
A Universal Question-Answering Platform for Knowledge Graphs. Proc. ACM Manag. Data 1 (1) (2023)
Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis
Deep understanding of big geo-social data for autonomous vehicles. Neural Comput. Appl. 35 (5) (2023)
Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao
ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Hang Xu, Wenxuan Zhang, Jiawei Fei, Yuzhe Wu, Tingwen Xie, Jun Huang, Yuchen Xie, Mohamed Elhoseiny, Panos Kalnis
SLAMB: Accelerated Large Batch Training with Sparse Communication. ICML (2023)
Shuo Shang, Xiangliang Zhang, Panos Kalnis
Spatiotemporal data management and analytics for recommender systems. World Wide Web (WWW) 26 (5) (2023)
Reham Omar, Ishika Dhall, Panos Kalnis, Essam Mansour
A Universal Question-Answering Platform for Knowledge Graphs. CoRR (2023)
Klearchos Kosmanos, Panos Kalnis, Apostolos Papadopoulos
Incremental Influential Community Detection in Large Networks. SSDBM (2022)
Ke Li, Lisi Chen, Shuo Shang, Haiyan Wang, Yang Liu, Panos Kalnis, Bin Yao
Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects. IJCAI (2022)
Hang Xu, Kelly Kostopoulou, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning. NeurIPS (2021)
Kelly Kostopoulou, Hang Xu, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis
DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning. CoRR (2021)
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
Rethinking gradient sparsification as total error minimization. NeurIPS (2021)
Ke Li, Lisi Chen, Shuo Shang, Panos Kalnis, Bin Yao
Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams. IJCAI (2021)
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
Rethinking gradient sparsification as total error minimization. CoRR (2021)
Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis
Deep understanding of big geospatial data for self-driving cars. Neurocomputing 428 (2021)
Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik
Scaling Distributed Machine Learning with In-Network Aggregation. NSDI (2021)
Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis
GRACE: A Compressed Communication Framework for Distributed Machine Learning. ICDCS (2021)
Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis
Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data. IJCAI (2021)
Lisi Chen, Shuo Shang, Christian S. Jensen, Jianliang Xu, Panos Kalnis, Bin Yao, Ling Shao
Top-k term publish/subscribe for geo-textual data streams. VLDB J. 29 (5) (2020)
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. AAAI (2020)
Rishikesh R. Gajjala, Shashwat Banchhor, Ahmed M. Abdelmoniem, Aritra Dutta, Marco Canini, Panos Kalnis
Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning. DistributedML@CoNEXT (2020)
Shuo Shang, Kai Zheng, Panos Kalnis
Introduction to spatio-temporal data driven urban computing. Distributed Parallel Databases 38 (3) (2020)
Lisi Chen, Shuo Shang, Christian S. Jensen, Bin Yao, Panos Kalnis
Parallel Semantic Trajectory Similarity Join. ICDE (2020)
Zhongpu Chen, Bin Yao, Zhi-Jie Wang, Wei Zhang, Kai Zheng, Panos Kalnis, Feilong Tang
ITISS: an efficient framework for querying big temporal data. GeoInformatica 24 (1) (2020)
Shuo Shang, Lisi Chen, Christian S. Jensen, Panos Kalnis
Introduction to Spatio-temporal data management and analytics for Smart City research. GeoInformatica 24 (1) (2020)
Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik
Scaling Distributed Machine Learning with In-Network Aggregation. CoRR (2019)
Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. KDD (2019)
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. CoRR (2019)
Ehab Abdelhamid, Ibrahim Abdelaziz, Zuhair Khayyat, Panos Kalnis
Pivoted Subgraph Isomorphism: The Optimist, the Pessimist and the Realist. EDBT (2019)
Fuad T. Jamour, Ibrahim Abdelaziz, Yuanzhao Chen, Panos Kalnis
Matrix Algebra Framework for Portable, Scalable and Efficient Query Engines for RDF Graphs. EuroSys (2019)
Dimitrios A. Koutsomitropoulos, Spiridon D. Likothanassis, Panos Kalnis
Semantics in the Deep: Semantic Analytics for Big Data. Data 4 (2) (2019)
Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis
AUC-MF: Point of Interest Recommendation with AUC Maximization. ICDE (2019)
Shuo Shang, Lisi Chen, Kai Zheng, Christian S. Jensen, Zhewei Wei, Panos Kalnis
Parallel Trajectory-to-Location Join. IEEE Trans. Knowl. Data Eng. 31 (6) (2019)
Lisi Chen, Shuo Shang, Kai Zheng, Panos Kalnis
Cluster-Based Subscription Matching for Geo-Textual Data Streams. ICDE (2019)
Lisi Chen, Shuo Shang, Zhiwei Zhang, Xin Cao, Christian S. Jensen, Panos Kalnis
Location-Aware Top-k Term Publish/Subscribe. ICDE (2018)
Shuo Shang, Lisi Chen, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis
Searching Trajectories by Regions of Interest. ICDE (2018)
Amin Allam, Spiros Skiadopoulos, Panos Kalnis
Improved suffix blocking for record linkage and entity resolution. Data Knowl. Eng. 117 (2018)
Ehab Abdelhamid, Mustafa Canim, Mohammad Sadoghi, Bishwaranjan Bhattacharjee, Yuan-Chi Chang, Panos Kalnis
Incremental Frequent Subgraph Mining on Large Evolving Graphs. ICDE (2018)
Fuad T. Jamour, Spiros Skiadopoulos, Panos Kalnis
Parallel Algorithm for Incremental Betweenness Centrality on Large Graphs. IEEE Trans. Parallel Distributed Syst. 29 (3) (2018)
Fuad T. Jamour, Ibrahim Abdelaziz, Panos Kalnis
A Demonstration of MAGiQ: Matrix Algebra Approach for Solving RDF Graph Queries. Proc. VLDB Endow. 11 (12) (2018)
Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis
Parallel trajectory similarity joins in spatial networks. VLDB J. 27 (3) (2018)
Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis
Query Optimizations over Decentralized RDF Graphs. ICDE (2017)
Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis
Errata for "Lightning Fast and Space Efficient Inequality Joins" (PVLDB 8(13): 2074-2085). Proc. VLDB Endow. 10 (9) (2017)
Amedeo Sapio, Ibrahim Abdelaziz, Marco Canini, Panos Kalnis
DAIET: a system for data aggregation inside the network. SoCC (2017)
Ehab Abdelhamid, Mustafa Canim, Mohammad Sadoghi, Bishwaranjan Bhattacharjee, Yuan-Chi Chang, Panos Kalnis
Incremental Frequent Subgraph Mining on Large Evolving Graphs. IEEE Trans. Knowl. Data Eng. 29 (12) (2017)
Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis
Trajectory Similarity Join in Spatial Networks. Proc. VLDB Endow. 10 (11) (2017)
Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis
Fast and scalable inequality joins. VLDB J. 26 (1) (2017)
Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis
Collective Travel Planning in Spatial Networks. ICDE (2017)
Shuo Shang, Lisi Chen, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis
Searching Trajectories by Regions of Interest. IEEE Trans. Knowl. Data Eng. 29 (7) (2017)
Ziyad AlGhamdi, Fuad T. Jamour, Spiros Skiadopoulos, Panos Kalnis
A Benchmark for Betweenness Centrality Approximation Algorithms on Large Graphs. SSDBM (2017)
Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis
Lusail: A System for Querying Linked Data at Scale. Proc. VLDB Endow. 11 (4) (2017)
Majed Sahli, Essam Mansour, Panos Kalnis
Querying and Mining Strings Made Easy. ADMA (2017)
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) (2017)
Amedeo Sapio, Ibrahim Abdelaziz, Abdulla Aldilaijan, Marco Canini, Panos Kalnis
In-Network Computation is a Dumb Idea Whose Time Has Come. HotNets (2017)
Essam Mansour, Ibrahim Abdelaziz, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis
A Demonstration of Lusail: Querying Linked Data at Scale. SIGMOD Conference (2017)
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) (2017)
Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis
Collective Travel Planning in Spatial Networks. IEEE Trans. Knowl. Data Eng. 28 (5) (2016)
Dimitrios Kleftogiannis, Panos Kalnis, Vladimir B. Bajic
Progress and challenges in bioinformatics approaches for enhancer identification. Briefings Bioinform. 17 (6) (2016)
Othman Soufan, Wail Ba-alawi, Moataz Afeef, Magbubah Essack, Panos Kalnis, Vladimir B. Bajic
DRABAL: novel method to mine large high-throughput screening assays using Bayesian active learning. J. Cheminformatics 8 (1) (2016)
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) (2016)
Emaad A. Manzoor, Haewoon Kwak, Panos Kalnis
Scheduling Broadcasts in a Network of Timelines. CoRR (2016)
Ehab Abdelhamid, Ibrahim Abdelaziz, Panos Kalnis, Zuhair Khayyat, Fuad T. Jamour
Scalemine: scalable parallel frequent subgraph mining in a single large graph. SC (2016)
Wail Ba-alawi, Othman Soufan, Magbubah Essack, Panos Kalnis, Vladimir B. Bajic
DASPfind: new efficient method to predict drug-target interactions. J. Cheminformatics 8 (1) (2016)
Majed Sahli, Essam Mansour, Tariq Alturkestani, Panos Kalnis
Automatic tuning of bag-of-tasks applications. ICDE (2015)
Shuo Shang, Kai Zheng, Christian S. Jensen, Bin Yang, Panos Kalnis, Guohe Li, Ji-Rong Wen
Discovery of Path Nearby Clusters in Spatial Networks. IEEE Trans. Knowl. Data Eng. 27 (6) (2015)
Majed Sahli, Essam Mansour, Panos Kalnis
StarDB: A Large-Scale DBMS for Strings. Proc. VLDB Endow. 8 (12) (2015)
Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli
Adaptive Partitioning for Very Large RDF Data. CoRR (2015)
Razen Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis
Evaluating SPARQL Queries on Massive RDF Datasets. Proc. VLDB Endow. 8 (12) (2015)
Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, Panos Kalnis, Nikos Mamoulis
SPARTex: A Vertex-Centric Framework for RDF Data Analytics. Proc. VLDB Endow. 8 (12) (2015)
Amin Allam, Panos Kalnis, Victor V. Solovyev
Karect: accurate correction of substitution, insertion and deletion errors for next-generation sequencing data. Bioinform. 31 (21) (2015)
Dimitrios Kleftogiannis, Limsoon Wong, John A. C. Archer, Panos Kalnis
Hi-Jack: a novel computational framework for pathway-based inference of host-pathogen interactions. Bioinform. 31 (14) (2015)
Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis
Lightning Fast and Space Efficient Inequality Joins. Proc. VLDB Endow. 8 (13) (2015)
Shuo Shang, Ruogu Ding, Kai Zheng, Christian S. Jensen, Panos Kalnis, Xiaofang Zhou
Personalized trajectory matching in spatial networks. VLDB J. 23 (3) (2014)
Razen Al-Harbi, Yasser Ebrahim, Panos Kalnis
PHD-Store: An Adaptive SPARQL Engine with Dynamic Partitioning for Distributed RDF Repositories. CoRR (2014)
Majed Sahli, Essam Mansour, Panos Kalnis
ACME: A scalable parallel system for extracting frequent patterns from a very long sequence. VLDB J. 23 (6) (2014)
Mohammed Elseidy, Ehab Abdelhamid, Spiros Skiadopoulos, Panos Kalnis
GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph. Proc. VLDB Endow. 7 (7) (2014)
Majed Sahli, Essam Mansour, Panos Kalnis
Parallel motif extraction from very long sequences. CIKM (2013)
Essam Mansour, Ahmed El-Roby, Panos Kalnis, Aron Ahmadia, Ashraf Aboulnaga
RACE: A Scalable and Elastic Parallel System for Discovering Repeats in Very Long Sequences. Proc. VLDB Endow. 6 (10) (2013)
Zuhair Khayyat, Karim Awara, Amani Alonazi, Hani Jamjoom, Dan Williams, Panos Kalnis
Mizan: a system for dynamic load balancing in large-scale graph processing. EuroSys (2013)
Karim Awara, Hani Jamjoom, Panos Kalnis
To 4, 000 compute nodes and beyond: network-aware vertex placement in large-scale graph processing systems. SIGCOMM (2013)
Mingqiang Xue, Panagiotis Karras, Chedy Raïssi, Panos Kalnis, Hung Keng Pung
Delineating social network data anonymization via random edge perturbation. CIKM (2012)
Man Lung Yiu, Ira Assent, Christian S. Jensen, Panos Kalnis
Outsourced Similarity Search on Metric Data Assets. IEEE Trans. Knowl. Data Eng. 24 (2) (2012)
Shuo Shang, Ruogu Ding, Bo Yuan, Kexin Xie, Kai Zheng, Panos Kalnis
User oriented trajectory search for trip recommendation. EDBT (2012)
Manolis Terrovitis, Nikos Mamoulis, Panos Kalnis
Local and global recoding methods for anonymizing set-valued data. VLDB J. 20 (1) (2011)
Essam Mansour, Amin Allam, Spiros Skiadopoulos, Panos Kalnis
ERA: Efficient Serial and Parallel Suffix Tree Construction for Very Long Strings CoRR (2011)
Gabriel Ghinita, Panos Kalnis, Yufei Tao
Anonymous Publication of Sensitive Transactional Data. IEEE Trans. Knowl. Data Eng. 23 (2) (2011)
Gabriel Ghinita, Panos Kalnis, Murat Kantarcioglu, Elisa Bertino
Approximate and exact hybrid algorithms for private nearest-neighbor queries with database protection. GeoInformatica 15 (4) (2011)
Essam Mansour, Amin Allam, Spiros Skiadopoulos, Panos Kalnis
ERA: Efficient Serial and Parallel Suffix Tree Construction for Very Long Strings. Proc. VLDB Endow. 5 (1) (2011)
Jianneng Cao, Panagiotis Karras, Panos Kalnis, Kian-Lee Tan
-closeness. VLDB J. 20 (1) (2011)
Mingqiang Xue, Panagiotis Papadimitriou, Chedy Raïssi, Panos Kalnis, Hung Keng Pung
Distributed Privacy Preserving Data Collection. DASFAA (1) (2011)
Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis
Efficient and accurate nearest neighbor and closest pair search in high-dimensional space. ACM Trans. Database Syst. 35 (3) (2010)
Gabriel Ghinita, Keliang Zhao, Dimitris Papadias, Panos Kalnis
A reciprocal framework for spatial K-anonymity. Inf. Syst. 35 (3) (2010)
Aris Gkoulalas-Divanis, Panos Kalnis, Vassilios S. Verykios
Providing K-Anonymity in location based services. SIGKDD Explor. 12 (1) (2010)
Man Lung Yiu, Gabriel Ghinita, Christian S. Jensen, Panos Kalnis
Enabling search services on outsourced private spatial data. VLDB J. 19 (3) (2010)
Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis
Quality and efficiency in high dimensional nearest neighbor search. SIGMOD Conference (2009)
Gabriel Ghinita, Panos Kalnis, Murat Kantarcioglu, Elisa Bertino
A Hybrid Technique for Private Location-Based Queries with Database Protection. SSTD (2009)
Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, Nikos Mamoulis
A framework for efficient data anonymization under privacy and accuracy constraints. ACM Trans. Database Syst. 34 (2) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Panos Kalnis