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Qijie Bai
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2020 – today
- 2024
- [c5]Yingqi Zhao, Haiwei Zhang, Qijie Bai, Changli Nie, Xiaojie Yuan:
DHMAE: A Disentangled Hypergraph Masked Autoencoder for Group Recommendation. SIGIR 2024: 914-923 - [i4]Xiaorui Qi, Qijie Bai, Yanlong Wen, Haiwei Zhang, Xiaojie Yuan:
Multi-view Graph Structural Representation Learning via Graph Coarsening. CoRR abs/2404.11869 (2024) - [i3]Qijie Bai, Changli Nie, Haiwei Zhang, Zhicheng Dou, Xiaojie Yuan:
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs. CoRR abs/2406.10367 (2024) - 2023
- [j2]Lin Zhang, Jiawen Guo, Qijie Bai, Chunyao Song:
Dynamic heterogeneous graph representation learning with neighborhood type modeling. Neurocomputing 533: 46-60 (2023) - [c4]Qijie Bai, Changli Nie, Haiwei Zhang, Dongming Zhao, Xiaojie Yuan:
HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction. WWW 2023: 523-532 - [i2]Qijie Bai, Jiawen Guo, Haiwei Zhang, Changli Nie, Lin Zhang, Xiaojie Yuan:
H2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces. CoRR abs/2304.06970 (2023) - [i1]Qijie Bai, Changli Nie, Haiwei Zhang, Dongming Zhao, Xiaojie Yuan:
HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction. CoRR abs/2304.07302 (2023) - 2022
- [j1]Haiwei Zhang, Qijie Bai, Yining Lian, Yanlong Wen:
A Twig-Based Algorithm for Top-k Subgraph Matching in Large-Scale Graph Data. Big Data Res. 30: 100350 (2022) - [c3]Wei Li, Haiwei Zhang, Qijie Bai, Guoqing Zhao, Ning Jiang, Xiaojie Yuan:
PPDL: Predicate Probability Distribution based Loss for Unbiased Scene Graph Generation. CVPR 2022: 19425-19434 - [c2]Qijie Bai, Jiawen Guo, Haiwei Zhang, Changli Nie, Lin Zhang, Xiaojie Yuan:
H2 TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces. ISWC 2022: 179-195 - 2020
- [c1]Qijie Bai, Yanting Yin, Yining Lian, Haiwei Zhang, Xiaojie Yuan:
PLSGAN: A Power-Law-modified Sequential Generative Adversarial Network for Graph Generation. WISE (1) 2020: 109-121
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last updated on 2024-07-20 21:17 CEST by the dblp team
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