JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2024, Vol. 59 ›› Issue (7): 105-112.doi: 10.6040/j.issn.1671-9352.1.2023.055
• Review • Previous Articles Next Articles
CLC Number:
1 | JORDANM I.Serial order: a parallel distributed processing approach[J].Advances in Psychology,1997,121,471-495. |
2 | KIPF T N, WELLING M. Semi-supervised classification with graph convolutional networks[EB/OL]. (2017-02-22)[2023-11-24]. http://arxiv.org/abs/1609.02907. |
3 |
MAJUMDERN,PORIAS,HAZARIKAD,et al.DialogueRNN: an attentive RNN for emotion detection in conversations[J].Proceedings of the AAAI Conference on Artificial Intelligence,2019,33(1):6818-6825.
doi: 10.1609/aaai.v33i01.33016818 |
4 | CHUNG J, GULCEHRE C, CHO K, et al. Empirical evaluation of gated recurrent neural networks on sequence modeling[EB/OL]. (2014-12-11)[2023-11-24]. http://arxiv.org/abs/1412.3555. |
5 | GHOSAL D, MAJUMDER N, GELBUKH A, et al. COSMIC: commonsense knowledge for emotion identification in conversa- tions[EB/OL]. (2020-10-06)[2023-11-24]. http://arxiv.org/abs/2010.02795. |
6 | GHOSAL D, MAJUMDER N, PORIA S, et al. DialogueGCN: a graph convolutional neural network for emotion recognition in conversation[EB/OL]. (2019-08-30)[2023-11-24]. http://arxiv.org/abs/1908.11540. |
7 | HU Jingwen, LIU Yuchen, ZHAO Jinming, et al. MMGCN: multimodal fusion via deep graph convolution network for emotion recognition in conversation[EB/OL]. (2021-07-14)[2023-11-24]. http://arxiv.org/abs/2107.06779. |
8 | CHEN Ming, WEI Zhewei, HUANG Zengfeng, et al. Simple and deep graph convolutional networks[C]//International Conference on Machine Learning. [S. l. ]: ACM, 2020: 1725-1735. |
9 | ZHOU Kaixiong, HUANG Xiao, LI Yuening, et al. Towards deeper graph neural networks with differentiable group normalization[C]//Proceedings of the 34th International Conference on Neural Information Processing Systems. New York: Curran Associates Inc., 2020: 4917-4928. |
10 | JOSHI A, BHAT A, JAIN A, et al. COGMEN: contextualized GNN based multimodal emotion recognition[EB/OL]. (2022-05-05)[2023-11-24]. http://arxiv.org/abs/2205.02455. |
11 | SCHLICHTKRULL M, KIPF T N, BLOEM P, et al. Modeling relational data with graph convolutional networks[M]//The Semantic Web. Cham: Springer, 2018: 593-607. |
12 | VASWANI A, SHAZEER N, PARMAR N, et al. Attention is all you need[C]//Proceedings of the 31st International Conference on Neural Information Processing Systems. Long Beach: ACM, 2017: 6000-6010. |
13 |
BUSSOC,BULUTM,LEEC C,et al.IEMOCAP: interactive emotional dyadic motion capture database[J].Language Resources and Evaluation,2008,42(4):335-359.
doi: 10.1007/s10579-008-9076-6 |
14 | EYBEN F, WÖLLMER M, SCHULLER B. Opensmile: the munich versatile and fast open-source audio feature extrac-tor[C]//Proceedings of the 18th ACM International Conference on Multimedia. Firenze: ACM, 2010: 1459-1462. |
15 | BALTRUŠAITIS T, ROBINSON P, MORENCY L P. OpenFace: an open source facial behavior analysis toolkit[C]//2016 IEEE Winter Conference on Applications of Computer Vision (WACV). New York: IEEE, 2016: 1-10. |
16 | REIMERS N, GUREVYCH I. Sentence-BERT: sentence embeddings using siamese BERT-networks[EB/OL]. (2019-08-27)[2023-12-24]. http://arxiv.org/abs/1908.10084. |
17 |
CAID,LAMW.Graph transformer for graph-to-sequence learning[J].Proceedings of the AAAI Conference on Artificial Intelligence,2020,34(5):7464-7471.
doi: 10.1609/aaai.v34i05.6243 |
18 | PORIA S, CAMBRIA E, HAZARIKA D, et al. Context-dependent sentiment analysis in user-generated videos[C]//Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Strouds-burg: Association for Computational Linguistics, 2017: 873-883. |
19 |
MAJUMDERN,HAZARIKAD,GELBUKHA,et al.Multimodal sentiment analysis using hierarchical fusion with context modeling[J].Knowledge-based Systems,2018,161,124-133.
doi: 10.1016/j.knosys.2018.07.041 |
20 | HU Dou, HOU Xiaolong, WEI Lingwei, et al. MM-DFN: multimodal dynamic fusion network for emotion recognition in conversations[C]//ICASSP 2022: 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Singapore: IEEE, 2022: 7037-7041. |
21 | SCOTTI V, GALATI F, SBATTELLA L, et al. Combining deep and unsupervised features for multilingual speech emotion recognition[C]//Pattern Recognition: ICPR International Workshops and Challenges. Cham: Springer, 2021: 114-128. |
22 | VAN DER MAATENL,HINTONG.Visualizing data using t-SNE[J].Journal of Machine Learning Research,2008,9(86):2579-2605. |
[1] | Xingyu HUANG,Mingyu ZHAO,Ziyu LYU. Category-wise knowledge probers for representation learning of graph neural networks [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2024, 59(7): 85-94. |
[2] | ZHENG Chenying, CHEN Yingyue, HOU Xianyu, JIANG Lianji, LIAO Liang. A neighbourhood granular fuzzy C-means clustering algorithm [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2024, 59(5): 35-44. |
[3] | ZHU Jin, FU Yu, GUAN Wenrui, WANG Pingxin. Perturbation three-way clustering based on natural nearest neighbors [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2024, 59(5): 45-51. |
[4] | Jiarui SUN,Mingjing DU. Fuzzy border-peeling clustering [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2024, 59(3): 27-36, 50. |
[5] | Huachang XU,Qian XU,Yulin ZHAO,Fengning LIANG,Kai XU,Hong ZHU. Prediction method of IDH1 mutation status of glioma based on improved EfficientNetV2 [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2023, 58(7): 60-66. |
[6] | Xin JIN,Feifan YU,Yutong DAI,Ziqian LI,Yongkui ZOU. Analysis of evaluation model on teaching effect based on cluster analysis and discrimination information [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2023, 58(7): 115-120. |
[7] | Xinsheng WANG,Xiaofei ZHU,Chenghong LI. Label guided multi-scale graph neural network for protein-protein interactions prediction [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2023, 58(12): 22-30. |
[8] | Hui MA,Lili WEI. Cluster analysis based on the hesitation triangle fuzzy correlation coefficient [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2023, 58(12): 118-126. |
[9] | FAN Jia-chen, WANG Ping-xin, YANG Xi-bei. Density-sensitive spectral clustering based on three-way decision [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2023, 58(1): 59-66. |
[10] | LI Xin-yu, FAN Hui, LIU Jing-lei. Robust clustering based on adaptive graph regularization and low-rank matrix decomposition [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2022, 57(8): 21-38. |
[11] | LIU Li-fang, MA Yuan-yuan. Cross-modal information retrieval method based on multi-view symmetric nonnegative matrix factorization [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2022, 57(7): 65-72. |
[12] | SUN Lin, LIANG Na, XU Jiu-cheng. Feature selection using adaptive neighborhood mutual information and spectral clustering [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2022, 57(12): 13-24. |
[13] | GAO Xin-zhao, XIE Yun-li. Linear independence of cluster monomials of cluster algebras of type G2 via categorification [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2022, 57(10): 34-38. |
[14] | WU Qi-ran, ZHOU Li-kai, SUN Jin-jin, WANG Nian-ge, YU Qun-fang. Research on characteristics of air quality change in Zhejiang Province——based on functional data analysis [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2021, 56(7): 53-64. |
[15] | ZHANG Bin-yan, ZHU Xiao-fei, XIAO Zhao-hui, HUANG Xian-ying, WU Jie. Short text classification based on semi-supervised graph neural network [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2021, 56(5): 57-65. |