| Heterogeneous Graph Contrastive Multi-view Learning Z Wang, Q Li, D Yu, X Han, XZ Gao, S Shen Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 37 | 2023 |
| SR-HGN: Semantic-and Relation-Aware Heterogeneous Graph Neural Network Z Wang, D Yu, Q Li, S Shen, S Yao Expert Systems with Applications, 119982, 2023 | 31 | 2023 |
| EFS‐DNN: An Ensemble Feature Selection‐Based Deep Learning Approach to Network Intrusion Detection System Z Wang, J Liu, L Sun Security and Communication Networks 2022 (1), 2693948, 2022 | 20 | 2022 |
| Self-adaptive weight based on dual-attention for differentiable neural architecture search Y Xue, X Han, Z Wang IEEE Transactions on Industrial Informatics, 2024 | 16 | 2024 |
| Temporal graph transformer for dynamic network Z Wang, Q Li, D Yu, X Han International Conference on Artificial Neural Networks, 694-705, 2022 | 8 | 2022 |
| Restaurant recommendation in vehicle context based on prediction of traffic conditions Z Wang, J Liu, S Shen, M Li International Journal of Pattern Recognition and Artificial Intelligence 35 …, 2021 | 8 | 2021 |
| Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling Z Wang, D Yu, S Shen, S Zhang, H Liu, S Yao, M Guo IEEE Transactions on Neural Networks and Learning Systems, 2024 | 7 | 2024 |
| Subgraph Pooling: Tackling Negative Transfer on Graphs Z Wang, Z Zhang, C Zhang, Y Ye Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 6* | 2024 |
| TPGNN: Learning high-order information in dynamic graphs via temporal propagation Z Wang, Q Li, D Yu arXiv preprint arXiv:2210.01171, 2022 | 6 | 2022 |
| Diet-odin: A novel framework for opioid misuse detection with interpretable dietary patterns Z Zhang, Z Wang, S Hou, E Hall, L Bachman, J White, V Galassi, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 5 | 2024 |
| SaDENAS: A self-adaptive differential evolution algorithm for neural architecture search X Han, Y Xue, Z Wang, Y Zhang, A Muravev, M Gabbouj Swarm and Evolutionary Computation, 2024 | 5 | 2024 |
| Prediction of willingness to pay for airline seat selection based on improved ensemble learning Z Wang, X Han, Y Chen, X Ye, K Hu, D Yu Aerospace 9 (2), 47, 2022 | 5 | 2022 |
| GFT: Graph Foundation Model with Transferable Tree Vocabulary Z Wang, Z Zhang, NV Chawla, C Zhang, Y Ye The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 4 | 2024 |
| MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation Z Zhang, Z Wang, T Ma, VS Taneja, S Nelson, NHL Le, K Murugesan, ... Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 2024 |
| Neural Graph Pattern Machine Z Wang, Z Zhang, T Ma, NV Chawla, C Zhang, Y Ye arXiv preprint arXiv:2501.18739, 2025 | | 2025 |
| Learning Cross-Task Generalities Across Graphs via Task-trees Z Wang, Z Zhang, T Ma, NV Chawla, C Zhang, Y Ye arXiv preprint arXiv:2412.16441, 2024 | | 2024 |
| NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning Z Zhang, Y Li, NHL Le, Z Wang, T Ma, V Galassi, K Murugesan, N Moniz, ... arXiv preprint arXiv:2412.15547, 2024 | | 2024 |
| Can LLMs Convert Graphs to Text-Attributed Graphs? Z Wang, S Liu, Z Zhang, T Ma, C Zhang, Y Ye 2025 Annual Conference of the Nations of the Americas Chapter of the …, 2024 | | 2024 |
| Training MLPs on Graphs without Supervision Z Wang, Z Zhang, C Zhang, Y Ye The 18th ACM International Conference on Web Search and Data Mining, 2024 | | 2024 |
| Graph Inference Acceleration by Learning MLPs on Graphs without Supervision Z Wang, Z Zhang, C Zhang, Y Ye arXiv preprint arXiv:2402.08918, 2024 | | 2024 |
Yanfang (Fanny) YeGalassi Family Collegiate Professor in Computer Science and Engineering, University of Notre DameVerified email at nd.edu