Venus Haghighi

According to our database, Venus Haghighi authored at least 12 papers between 2018 and 2025.

Collaborative distances:

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

2025

Beyond pairwise relationships: a transformer-based hypergraph learning approach for fraud detection.

Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu, Yang Zhang, Lina Yao, Jian Yang, Quan Z. Sheng

Knowl. Inf. Syst., September, 2025

Trffc: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction.

Nasrin Shabani, Amin Beheshti, Yuankai Qi, Venus Haghighi, Sahar Moradizeyveh, Quan Z. Sheng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

Attention-Based Graph Summarization for Large-Scale Information Retrieval.

Nasrin Shabani, Amin Beheshti, Alireza Jolfaei, Jia Wu, Venus Haghighi, Maryam Khanian Najafabadi, Jin Foo

IEEE Trans. Consumer Electron., August, 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

TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection.

Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu, Yang Zhang, Lina Yao, Quan Z. Sheng, Jian Yang

Proceedings of the IEEE International Conference on Data Mining, 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