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Anwar Said
Anwar Said
AI Research Scientist at Institute for Software Integrated Systems, Vanderbilt University
Verified email at vanderbilt.edu - Homepage
Title
Cited by
Cited by
Year
CC-GA: A clustering coefficient based genetic algorithm for detecting communities in social networks
A Said, RA Abbasi, O Maqbool, A Daud, NR Aljohani
Applied Soft Computing 63, 59-70, 2018
1362018
Mining network-level properties of Twitter altmetrics data
A Said, TD Bowman, RA Abbasi, NR Aljohani, SU Hassan, R Nawaz
Scientometrics 120, 217-235, 2019
532019
Leveraging deep learning and SNA approaches for smart city policing in the developing world
SU Hassan, M Shabbir, S Iqbal, A Said, F Kamiran, R Nawaz, U Saif
International Journal of Information Management 56, 102045, 2021
372021
Proactive caching at the edge leveraging influential user detection in cellular D2D networks
A Said, SWH Shah, H Farooq, AN Mian, A Imran, J Crowcroft
Future Internet 10 (10), 93, 2018
222018
Exploiting social networks of Twitter in altmetrics big data
M Imran, A Akhtar, A Said, I Safder, SU Hassan, NR Aljohani
23rd international conference on science and technology indicators (STI 2018 …, 2018
192018
DGSD: Distributed graph representation via graph statistical properties
A Said, SU Hassan, S Tuarob, R Nawaz, M Shabbir
Future Generation Computer Systems 119, 166-175, 2021
152021
A value-added IoT service for cellular networks using federated learning
AN Mian, SWH Shah, S Manzoor, A Said, K Heimerl, J Crowcroft
Computer Networks 213, 109094, 2022
142022
NetKI: a kirchhoff index based statistical graph embedding in nearly linear time
A Said, SU Hassan, W Abbas, M Shabbir
Neurocomputing 433, 108-118, 2021
112021
Detailed analysis of Ethereum network on transaction behavior, community structure and link prediction
A Said, MU Janjua, SU Hassan, Z Muzammal, T Saleem, T Thaipisutikul, ...
PeerJ Computer Science 7, e815, 2021
92021
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
A Said, RG Bayrak, T Derr, M Shabbir, D Moyer, C Chang, X Koutsoukos
Neural Information Processing Systems (NeurIPS), 2023
62023
On augmenting topological graph representations for attributed graphs
A Said, M Shabbir, SU Hassan, ZR Hassan, A Ahmed, X Koutsoukos
Applied Soft Computing 136, 110104, 2023
42023
Circuit design completion using graph neural networks
A Said, M Shabbir, B Broll, W Abbas, P Völgyesi, X Koutsoukos
Neural Computing and Applications 35 (16), 12145-12157, 2023
22023
ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information
S Athar, RA Abbasi, Z Saeed, A Said, I Razzak, FD Salim
World Wide Web 26 (5), 3463-3481, 2023
12023
Identifying misinformation spreaders: a graph-based semi-supervised learning approach
A Ullah, RA Abbasi, AS Khattak, A Said
arXiv preprint arXiv:2303.03704, 2023
12023
Control-based Graph Embeddings with Data Augmentation for Contrastive Learning
OU Ahmad, A Said, M Shabbir, W Abbas, X Koutsoukos
arXiv preprint arXiv:2403.04923, 2024
2024
MSDGSD: A Scalable Graph Descriptor for Processing Large Graphs
M Ali, A Said, I Safder, SU Hassan, NR Aljohani, M Shabbir
IEEE Transactions on Computational Social Systems, 2024
2024
Network Controllability Perspectives on Graph Representation
A Said, OU Ahmad, W Abbas, M Shabbir, X Koutsoukos
IEEE Transactions on Knowledge and Data Engineering, 2023
2023
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation
A Said, M Shabbir, T Derr, W Abbas, X Koutsoukos
International Conference on Machine Learning and Applications, 2023
2023
A Survey of Graph Unlearning
A Said, T Derr, M Shabbir, W Abbas, X Koutsoukos
arXiv preprint arXiv:2310.02164, 2023
2023
Sequential Graph Neural Networks for Source Code Vulnerability Identification
A Ahmed, A Said, M Shabbir, X Koutsoukos
arXiv preprint arXiv:2306.05375, 2023
2023
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