CC-GA: A clustering coefficient based genetic algorithm for detecting communities in social networks. - Anwar Said; Rabeeh Ayaz Abbasi; Onaiza Maqbool; Ali Daud; Naif Radi Aljohani (Appl. Soft Comput., 2018)

Proactive Caching at the Edge Leveraging Influential User Detection in Cellular D2D Networks. - Anwar Said; Syed Waqas Haider Shah; Hasan Farooq; Adnan Noor Mian; Ali Imran 001; Jon Crowcroft (Future Internet, 2018)

Mining network-level properties of Twitter altmetrics data. - Anwar Said; Timothy D. Bowman; Rabeeh Ayaz Abbasi; Naif Radi Aljohani; Saeed-Ul Hassan; Raheel Nawaz (Scientometrics, 2019)

DGSD: Distributed graph representation via graph statistical properties. - Anwar Said; Saeed-Ul Hassan; Suppawong Tuarob; Raheel Nawaz; Mudassir Shabbir (Future Gener. Comput. Syst., 2021)

Leveraging Deep Learning and SNA approaches for Smart City Policing in the Developing World. - Saeed-Ul Hassan; Mudassir Shabbir; Sehrish Iqbal; Anwar Said; Faisal Kamiran; Raheel Nawaz; Umar Saif (Int. J. Inf. Manag., 2021)

NetKI: A kirchhoff index based statistical graph embedding in nearly linear time. - Anwar Said; Saeed-Ul Hassan; Waseem Abbas; Mudassir Shabbir (Neurocomputing, 2021)

Detailed analysis of Ethereum network on transaction behavior, community structure and link prediction. - Anwar Said; Muhammad Umar Janjua; Saeed-Ul Hassan; Zeeshan Muzammal; Tania Saleem; Tipajin Thaipisutikul; Suppawong Tuarob; Raheel Nawaz (PeerJ Comput. Sci., 2021)

What a drag! Streamlining the UAV design process with design grammars and drag surrogates. - Michael Sandborn; Carlos Olea; Anwar Said; Mudassir Shabbir; Péter Völgyesi; Xenofon D. Koutsoukos; Jules White (CSCI, 2022)

Identifying Misinformation Spreaders: A Graph-Based Semi-Supervised Learning Approach. - Atta Ullah; Rabeeh Ayaz Abbasi; Akmal Saeed Khattak; Anwar Said (MediaEval, 2022)

A value-added IoT service for cellular networks using federated learning. - Adnan Noor Mian; Syed Waqas Haider Shah; Sanaullah Manzoor; Anwar Said; Kurtis Heimerl; Jon Crowcroft (Comput. Networks, 2022)

Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation. - Anwar Said; Mudassir Shabbir; Tyler Derr; Waseem Abbas; Xenofon D. Koutsoukos (ICMLA, 2023)

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics. - Anwar Said; Roza G. Bayrak; Tyler Derr; Mudassir Shabbir; Daniel Moyer; Catie Chang; Xenofon D. Koutsoukos (NeurIPS, 2023)

Sequential Graph Neural Networks for Source Code Vulnerability Identification. - Ammar Ahmed; Anwar Said; Mudassir Shabbir; Xenofon D. Koutsoukos (CoRR, 2023)

A Survey of Graph Unlearning. - Anwar Said; Tyler Derr; Mudassir Shabbir; Waseem Abbas; Xenofon D. Koutsoukos (CoRR, 2023)

On augmenting topological graph representations for attributed graphs. - Anwar Said; Mudassir Shabbir; Saeed-Ul Hassan; Zohair Raza Hassan; Ammar Ahmed; Xenofon D. Koutsoukos (Appl. Soft Comput., 2023)

Circuit design completion using graph neural networks. - Anwar Said; Mudassir Shabbir; Brian Broll; Waseem Abbas; Péter Völgyesi; Xenofon D. Koutsoukos (Neural Comput. Appl., 2023)

ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information. - Sajjad Athar; Rabeeh Ayaz Abbasi; Zafar Saeed; Anwar Said; Imran Razzak; Flora D. Salim (World Wide Web (WWW), 2023)

Control-Based Graph Embeddings with Data Augmentation for Contrastive Learning. - Obaid Ullah Ahmad; Anwar Said; Mudassir Shabbir; Xenofon D. Koutsoukos; Waseem Abbas (ACC, 2024)

Improving Graph Machine Learning Performance Through Feature Augmentation Based on Network Control Theory. - Anwar Said; Obaid Ullah Ahmad; Waseem Abbas; Mudassir Shabbir; Xenofon D. Koutsoukos (MED, 2024)

A Graph Neural Network Framework for Imbalanced Bus Ridership Forecasting. - Samir Gupta; Agrima Khanna; Jose Paolo Talusan; Anwar Said; Daniel Freudberg; Ayan Mukhopadhyay; Abhishek Dubey (SMARTCOMP, 2024)

A Property Encoder for Graph Neural Networks. - Anwar Said; Xenofon D. Koutsoukos (CoRR, 2024)

Network Controllability Perspectives on Graph Representation. - Anwar Said; Obaid Ullah Ahmad; Waseem Abbas; Mudassir Shabbir; Xenofon D. Koutsoukos (IEEE Trans. Knowl. Data Eng., 2024)

MSDGSD: A Scalable Graph Descriptor for Processing Large Graphs. - Muhammad Ali; Anwar Said; Iqra Safder; Saeed-Ul Hassan; Naif Radi Aljohani; Mudassir Shabbir (IEEE Trans. Comput. Soc. Syst., 2024)

PropEnc: A Property Encoder for Graph Neural Networks. - Anwar Said; Waseem Abbas; Xenofon D. Koutsoukos (COINS, 2025)

Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning. - Obaid Ullah Ahmad; Anwar Said; Mudassir Shabbir; Xenofon D. Koutsoukos; Waseem Abbas (CoRR, 2025)

Robust Anomaly Detection with Graph Neural Networks using Controllability. - Yifan Wei; Anwar Said; Waseem Abbas; Xenofon D. Koutsoukos (CoRR, 2025)

Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning. - Anwar Said; Yifan Wei; Obaid Ullah Ahmad; Mudassir Shabbir; Waseem Abbas; Xenofon D. Koutsoukos (CoRR, 2025)

Mitigating Distribution Shift in Graph-Based Android Malware Classification via Function Metadata and LLM Embeddings. - Ngoc N. Tran; Anwar Said; Waseem Abbas; Tyler Derr; Xenofon D. Koutsoukos (CoRR, 2025)

Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction. - Qinwen Ge; Roza G. Bayrak; Anwar Said; Catie Chang; Xenofon D. Koutsoukos; Tyler Derr (CoRR, 2025)