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Zemin Liu
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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
1652017
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
852021
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
822017
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
722021
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
642023
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
452020
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
422020
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
412018
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
392018
Meta-inductive node classification across graphs
Z Wen, Y Fang, Z Liu
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
322021
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
302018
Node-wise localization of graph neural networks
Z Liu, Y Fang, C Liu, SCH Hoi
International Joint Conferences on Artificial Intelligence, 2021
222021
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
192023
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
172023
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
152023
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, 2024
132024
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
122023
Neighbor-anchoring adversarial graph neural networks
Z Liu, Y Fang, Y Liu, VW Zheng
IEEE Transactions on Knowledge and Data Engineering 35 (1), 784-795, 2021
112021
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
92022
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
62024
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