Venus Haghighi

According to our database, Venus Haghighi authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Comprehensive Survey on Graph Summarization With Graph Neural Networks.

Nasrin Shabani, Jia Wu, Amin Beheshti, Quan Z. Sheng, Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar

IEEE Trans. Artif. Intell., August, 2024

Robust Graph Learning Against Camouflaged Malicious Actors.

Venus Haghighi, Nasrin Shabani, Behnaz Soltani, Lina Yao, Quan Z. Sheng, Jian Yang, Amin Beheshti

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection.

Behnaz Soltani, Venus Haghighi, Yipeng Zhou, Quan Z. Sheng, Lina Yao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

From Classic GNNs to Hyper-GNNs for Detecting Camouflaged Malicious Actors.

Venus Haghighi

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Survey of Federated Evaluation in Federated Learning.

Behnaz Soltani, Yipeng Zhou, Venus Haghighi, John C. S. Lui

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks.

Venus Haghighi, Behnaz Soltani, Adnan Mahmood, Quan Z. Sheng, Jian Yang

CoRR, 2022

A survey on participant selection for federated learning in mobile networks.

Behnaz Soltani, Venus Haghighi, Adnan Mahmood, Quan Z. Sheng, Lina Yao

Proceedings of the MobiArch '22: Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture, 2022

2018

An Offloading Strategy in Mobile Cloud Computing Considering Energy and Delay Constraints.

Venus Haghighi, Naghmeh S. Moayedian

IEEE Access, 2018