Mengmei Zhang

According to our database, Mengmei Zhang authored at least 21 papers between 2018 and 2026.

Collaborative distances:

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

2026

Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding.

Zhongjian Zhang, Yue Yu, Mengmei Zhang, Junping Du, Xiao Wang, Chuan Shi

CoRR, May, 2026

Multimodal named entity recognition in the era of large pre-trained models: A comprehensive survey.

Mingying Xu, Fei Hou, Jie Liu, Mengmei Zhang, Lei Shi, Feifei Kou, Lei Guo, Philip S. Yu, Xuming Hu

Inf. Fusion, 2026

FRiskGPT: A Generative Foundation Model for Financial Risk Detection.

Zhongjian Zhang, Mengmei Zhang, Dehua Xu, Rongjun Shi, Jianfeng Liu, Fuli Meng, Huajian Xu, Xiao Wang, Ruijia Wang, Junze Chen, Minwei Tang, Chuan Shi

Proceedings of the ACM Web Conference 2026, 2026

Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning.

Zhongjian Zhang, Xiao Wang, Mengmei Zhang, Jiarui Tan, Chuan Shi

Proceedings of the ACM Web Conference 2026, 2026

2025

Graph Foundation Models: Concepts, Opportunities and Challenges.

Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models.

Zhibiao Wang, Yunlong Zhou, Ziwei Zhang, Mengmei Zhang, Shirui Pan, Chunming Hu, Xiao Wang

CoRR, May, 2025

Data-centric Federated Graph Learning with Large Language Models.

Bo Yan, Zhongjian Zhang, Huabin Sun, Mengmei Zhang, Yang Cao, Chuan Shi

CoRR, March, 2025

Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?

Zhongjian Zhang, Xiao Wang, Huichi Zhou, Yue Yu, Mengmei Zhang, Cheng Yang, Chuan Shi

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment.

Yibo Li, Yuan Fang, Mengmei Zhang, Chuan Shi

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective.

Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

FineMolTex: Towards Fine-grained Molecular Graph-Text Pre-training.

Yibo Li, Yuan Fang, Mengmei Zhang, Chuan Shi

CoRR, 2024

Endowing Pre-trained Graph Models with Provable Fairness.

Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi

Proceedings of the ACM on Web Conference 2024, 2024

GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks.

Mengmei Zhang, Mingwei Sun, Peng Wang, Shen Fan, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Cheng Yang, Chuan Shi

Proceedings of the ACM on Web Conference 2024, 2024

Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks?

Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou, Lichao Sun

Proceedings of the 33rd USENIX Security Symposium, 2024

2023

Towards Graph Foundation Models: A Survey and Beyond.

Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi

CoRR, 2023

Minimum Topology Attacks for Graph Neural Networks.

Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du

Proceedings of the ACM Web Conference 2023, 2023

Provable Training for Graph Contrastive Learning.

Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Robust Heterogeneous Graph Neural Networks against Adversarial Attacks.

Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Text-Graph Enhanced Knowledge Graph Representation Learning.

Linmei Hu, Mengmei Zhang, Shaohua Li, Jinghan Shi, Chuan Shi, Cheng Yang, Zhiyuan Liu

Frontiers Artif. Intell., 2021

2020

Adversarial Label-Flipping Attack and Defense for Graph Neural Networks.

Mengmei Zhang, Linmei Hu, Chuan Shi, Xiao Wang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2018

An Integrated Semantic-Syntactic SBLSTM Model for Aspect Specific Opinion Extraction.

Zhongming Han, Xin Jiang, Mengqi Li, Mengmei Zhang, Dagao Duan

Proceedings of the Web Information Systems and Applications, 2018