Takip et
Zemin Liu
Zemin Liu
Zhejiang University
zju.edu.cn üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Topological recurrent neural network for diffusion prediction
J Wang, VW Zheng, Z Liu, KCC Chang
Proceedings of The IEEE International Conference on Data Mining (ICDM), 2017
2022017
Graphprompt: Unifying pre-training and downstream tasks for graph neural networks
Z Liu, X Yu, Y Fang, X Zhang
Proceedings of the ACM web conference 2023, 417-428, 2023
1822023
Tail-GNN: Tail-node graph neural networks
Z Liu, TK Nguyen, Y Fang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
1262021
Relative and absolute location embedding for few-shot node classification on graph
Z Liu, Y Fang, C Liu, SCH Hoi
Proceedings of the AAAI conference on artificial intelligence 35 (5), 4267-4275, 2021
942021
Semantic proximity search on heterogeneous graph by proximity embedding
Z Liu, VW Zheng, Z Zhao, F Zhu, KCC Chang, M Wu, J Ying
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
882017
Towards locality-aware meta-learning of tail node embeddings on networks
Z Liu, W Zhang, Y Fang, X Zhang, SCH Hoi
Proceedings of the 29th ACM international conference on information …, 2020
622020
Hinormer: Representation learning on heterogeneous information networks with graph transformer
Q Mao, Z Liu, C Liu, J Sun
Proceedings of the ACM web conference 2023, 599-610, 2023
602023
mg2vec: Learning relationship-preserving heterogeneous graph representations via metagraph embedding
W Zhang, Y Fang, Z Liu, M Wu, X Zhang
IEEE Transactions on Knowledge and Data Engineering 34 (3), 1317-1329, 2020
592020
Distance-aware dag embedding for proximity search on heterogeneous graphs
Z Liu, V Zheng, Z Zhao, F Zhu, K Chang, M Wu, J Ying
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
422018
Hgprompt: Bridging homogeneous and heterogeneous graphs for few-shot prompt learning
X Yu, Y Fang, Z Liu, X Zhang
Proceedings of the AAAI conference on artificial intelligence 38 (15), 16578 …, 2024
412024
Interactive paths embedding for semantic proximity search on heterogeneous graphs
Z Liu, VW Zheng, Z Zhao, Z Li, H Yang, M Wu, J Ying
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
412018
On Generalized Degree Fairness in Graph Neural Networks
Z Liu, TK Nguyen, Y Fang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 2023
402023
Meta-inductive node classification across graphs
Z Wen, Y Fang, Z Liu
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
392021
Cooperative Explanations of Graph Neural Networks
J Fang, X Wang, A Zhang, Z Liu, X He, TS Chua
Proceedings of the 16th ACM International Conference on Web Search and Data …, 2023
342023
Evaluating post-hoc explanations for graph neural networks via robustness analysis
J Fang, W Liu, Y Gao, Z Liu, A Zhang, X Wang, X He
Advances in neural information processing systems 36, 72446-72463, 2023
332023
Subgraph-augmented path embedding for semantic user search on heterogeneous social network
Z Liu, VW Zheng, Z Zhao, H Yang, KCC Chang, M Wu, J Ying
Proceedings of the 2018 World Wide Web Conference, 1613-1622, 2018
322018
Learning to count isomorphisms with graph neural networks
X Yu, Z Liu, Y Fang, X Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4845-4853, 2023
292023
Node-wise localization of graph neural networks
Z Liu, Y Fang, C Liu, SCH Hoi
International Joint Conferences on Artificial Intelligence, 2021
272021
Generalized graph prompt: Toward a unification of pre-training and downstream tasks on graphs
X Yu, Z Liu, Y Fang, Z Liu, S Chen, X Zhang
IEEE Transactions on Knowledge and Data Engineering, 2024
262024
On size-oriented long-tailed graph classification of graph neural networks
Z Liu, Q Mao, C Liu, Y Fang, J Sun
Proceedings of the ACM web conference 2022, 1506-1516, 2022
232022
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