Graphs are Everywhere !

Nasrullah

Nasrullah

Research Scientist
IBM Research - Almaden
CA, US
Email: nasrullah[dot]sheikh[AT]ibm[dot]com

Selected Publications

  1. Nasrullah Sheikh, Xiao Qin, Berthold Reinwald, Chuan Lei. Scaling knowledge graph embedding models for link prediction. Proceedings of the 2nd European Workshop on Machine Learning and Systems(EuroMLSys), April 2022. [PDF]

  2. Nasrullah Sheikh, Yaniv Gur, Xiao Qin, Berthold Reinwald. Distributed Training of Knowledge Graph Embedding Models using Ray. Proceedings of the International Conference on Extending Database Technology (EDBT), March 2022. [PDF]

  3. Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu. Relation-aware Graph Attention Model With Adaptive Self-adversarial Training. In 35th AAAI Conference on Artificial Intelligence. Feb. 2021. [PDF]

  4. Zekarias T. Kefato, Sarunas Girdzijauskas, Nasrullah Sheikh, and Alberto Montresor. Dynamic Embeddings for Interaction Prediction. In 30th The Web Conference April 2021 [PDF]

  5. Nasrullah Sheikh, Xiao Qin, Berthold Reinwald, Christoph Miksovic, Thomas Gschwind, Paolo Scotton. Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention. The 2nd International Workshop on Deep Learning on Graphs: Methods and Applications (KDD-DLG’20), 2020. [PDF]

  6. Abdullah Hamid, Nasrullah Sheikh, et. al. Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case. In MediaEval Benchmarking Initiative for Multimedia Evaluation, December 2020., 2020.

  7. Phillipp Müller, Xiao Qin, Balaji Ganesan, Nasrullah Sheikh, Berthold Reinwald. An Integrated Graph Neural Network for Supervised Non-obvious Relationship Detection in Knowledge Graphs. Proceedings of the International Conference on Extending Database Technology (EDBT) [Short Paper], March 2020. [PDF]

  8. Nasrullah Sheikh, Zekarias T. Kefato, and Alberto Montresor. A Simple Approach to Attributed Graph Embedding via Enhanced Autoencoder. In Proc. of the Eighth Int. Conference on Complex Networks and Their Applications (COMPLEX NETWORKS 2019), vol. 881 of Studies in Computational Intelligence, pages 797–809. Springer, December 2019 [PDF]

  9. Zekarias T. Kefato, Nasrullah Sheikh,and Alberto Montresor. Which way? Direction-Aware Attributed Graph Embedding. IIn Proc. of the Graph Embedding and Mining Workshop, co-located with ECML-PKDD’19. September 2019 [PDF]

  10. Zekarias T. Kefato, Nasrullah Sheikh, Leila Bahri, Amira Soliman, Alberto Montresor, and Sarunas Girdzijauskas. CaTS: Network-Agnostic Virality Prediction Model to Aid Rumour Detection. In Proc. of the Second International Workshop on Rumours and Deception in Social Media (collocated with CIKM) Oct 2018

  11. Nasrullah Sheikh, Zekarias T. Kefato, and Alberto Montresor. Semi-Supervised Heterogeneous Information Network Embedding for Node Classification using 1D-CNN. In Proc. of the First International Workshop on Deep and Transfer Learning (DTL 2018) Collocated with SNAMS. [PDF]

  12. Zekarias T. Kefato, Nasrullah Sheikh, Leila Bahri, Amira Soliman, Alberto Montresor, and Sarunas Girdzijauskas. CAS2VEC: Network-Agnostic Cascade Prediction in Online Social Networks. In Proc. of the Fifth International Conference on Social Networks Analysis, Management and Security(SNAMS) IEEE, Oct 2018. [PDF] [Won Best Paper Award]

  13. Zekarias T. Kefato, Nasrullah Sheikh, and Alberto Montresor. REFINE: Representation lear­ning from dif­fu­sion even­ts. In Proc. of the 4th Conference on Machine Learning, Optimization and Data scien­ce, LOD’18. Springer, September 2018. [PDF][Candidate for Best Paper Award]

  14. Nasrullah Sheikh, Zekarias Kefato, and Alberto Montresor. GAT2VEC: Representation lear­ning for attri­bu­ted gra­phs. Computing, 2018 [PDF][CODE]

  15. Zekarias T. Kefato, Nasrullah Sheikh, and Alberto Montresor. MINERAL: Multi-modal net­work repre­sen­ta­tion lear­ning. In Proc. of the 3rd International Conference on Machine Learning, Optimization and Big Data, MOD’17. ACM September 2017. [PDF]

  16. Zekarias T. Kefato, Nasrullah Sheikh, and Alberto Montresor. DEEPINFER: Diffusion net­work infe­ren­ce throu­gh repre­sen­ta­tion lear­ning. In Proc. of the 13th International Workshop on Mining and Learning With Graphs (KDD-MLG’17). August 2017. [PDF]

  17. Nasrullah Sheikh, and Shirshu Varma. Greedy Routing Performance Analysis of Network Embedded in Hyperbolic and Euclidean Space. In Proc. of 2015 International Conference on Computing and Network Communication (CoCoNet) IEEE, Dec 2015 [PDF]

  18. Muzamil Ahmad, Shameem Yousuf, and Nasrullah Sheikh. Free Text Plagiarism Detection Using Lexical Database and Document Fingerprinting. In International Conference on Advances in Computers, Communication and Electronic Engineering, Mar 2015 [PDF]

  19. Shameem Yousuf, Muzamil Ahmad, and Nasrullah Sheikh. A review of plagiarism detection based on Lexical and Semantic Approach. In International Conference on Emerging Trends in Communication, Control, Signal Processing & Computing Applications (C2SPCA), Oct 2013 [PDF]

  20. Nasrullah Sheikh and Dawood A. Khan. A novel algorithm for real time moving object tracking. In International Conference on Image Information Processing (ICIIP), Nov 2011 [PDF]