Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks

Deep Residual Learning for Image Recognition

He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474

Attention Is All You Need

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MizAR 60 for Mizar 50

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Glove: Global Vectors for Word Representation

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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

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Semi-supervised classification with graph convolutional networks

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YOLOv3: An Incremental Improvement

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Convolutional Neural Networks for Sentence Classification

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A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)

Khanam, Z., Achari, V. P. S., Boukhennoufa, I., et al. (2024) · Durham Research Online (Durham University) · doi:10.4230/oasics.ng-res.2024.2 · Cited by 14,048

Neural Message Passing for Quantum ChemistryPreprint

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Enhancing Cross-Modal Alignment in Multimodal Sentiment Analysis via Prompt Learning

Wang, X., Li, X., Li, Z., Zhou, C., Chen, F., & Yang, D. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-8620-6_37 · Cited by 1

EGSRNet: Emotion-Label Guiding and Similarity Reasoning Network for Multimodal Sentiment Analysis

Zhan, C., Qian, W., & Liu, P. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-8620-6_25 · Cited by 1

Adaptive Multimodal Temporal Transformer for Bio Signal Driven Stroke Rehabilitation PrognosisPreprint

Zhao, J., & Rao, Y. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.18.683234 · Cited by 1

Providing Syntactic Awareness to Neural Machine Translation by Graph-Based Transformer

Nguyen, B., Le, B., Nguyen, L. H. B., Pham, V., & Đinh, Đ. (2022) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-030-97610-1_7

Learning Multimodal Cues of Children’s Uncertainty

Cheng, Q., İnan, M., Mbarki, R., Grmek, G., Choi, T., Sun, Y., Persaud, K., Wang, J., & Alikhani, M. (2023) · Annual Meeting of the Special Interest Group on Discourse and Dialogue · doi:10.18653/v1/2023.sigdial-1.41

A Review on Emotion Detection from Text: Opportunities and Challenges

Mahmud, A. R., Fuad, M. M., Hasan, M. Z., Rafid, M. M., Khan, M. R., & Rabbi, M. M. F. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-3937-0_2 · Cited by 1

CEFM: CLIP Encoded Fusion Model for multimodal humor recognition on memes

Shuo, H., Zhang, Y., Mengyi, W., Hongfei, L., & Lu, M. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-20419-0

Cross-Modal Sentiment Analysis Based on Fine-Grained Feature Interaction Learning

Sun, Y., Jin, G., Zhao, Y., Cui, R., & Yin, H. (2024) · Lecture notes in computer science · doi:10.1007/978-981-96-0847-8_2

A Text-Oriented Transformer with an Image Aesthetics Assessment Fusion Network for Visual-Textual Sentiment Analysis

Liu, Z., & Zhang, Z. (2024) · Communications in computer and information science · doi:10.1007/978-981-97-9671-7_12

Enhanced Multimodal Sentiment Analysis via Tensor Decomposition and Hypergraph Convolutional Networks

Zhang, X., Zhao, Y., Liu, Y., & Zhang, D. (2024) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai62512.2024.00053

Advancing Chinese travel sentiment analysis: a novel dataset and DFRAN approach for missing modalities

Sun, B., Tohti, T., Han, D., Liang, Y., Zuo, Z., Liao, Y., & Yang, Q. (2025) · Multimedia Systems · doi:10.1007/s00530-025-01877-4

MCEF: Multi-curriculum Enhancement Framework for Social Image-Text Sentiment Classification

Huang, H., Pan, Y., & Fan, Y. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-6951-6_9

Integrating Hierarchical Fine-Grained and Global Information for Multimodal Sentiment Analysis

Liu, X., Zhang, Y., Zhang, X., Xiao, X., Dong, L., Mao, M., Li, G., & Tan, L. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-7008-6_1

Bmman: A Bi-Directional Masked Multimodal Attention Network for Enhanced Image-Text Sentiment AnalysisPreprint

Wushouer, M., Tuerhong, G., & Guo, X. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5376333

Adaptive graph interaction guided correlation and discriminant learning for aspect-based multimodal sentiment analysis

Wang, S., Cai, G., & Lv, G. (2025) · Multimedia Systems · doi:10.1007/s00530-025-01970-8

Hypercholesterolemia Risk Prediction from Serum Metabolomics Using a Metabolic Pathway-Integrated Graph Neural NetworkPreprint

Yang, Z., & Graham, C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.14.682480

Image-Text Sentiment Analysis Based on Cross-Modal Interactive Attention

Wushouer, M., Guo, X., Tuerhong, G., Huang, H., Tian, L., Liu, S., & Zhang, L. (2025) · Lecture notes in computer science · doi:10.1007/978-981-95-1346-8_1

An Immuno-Linguistic Transformer for Multi-Scale Modeling of T-Cell Spatiotemporal DynamicsPreprint

Tan, L., & Xun, J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.25.684555

Multimodal Sentiment Analysis with Multi-Perspective Thinking via Large Multimodal Models

Ma, J., Xu, S., Li, Y., & Fu, X. (2025) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3746252.3761328

RoseNet: A Cross-Modal Incongruity Adaptive Graph Learning Network in Multimodal Sentiment Recognition

Wang, G., Chen, Y., Gao, M., Wu, Z., & Tang, J. (2025) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn64981.2025.11227414

EMSA: An Ensemble-Based Framework for Multimodal Sentiment Analysis

Wang, N., Wu, F., Liang, S., Zhu, Y., & Pang, C. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-9964-3_38

Constructing Audio-Visual Heterogeneous Graphs for Deepfake Detection

Xie, N., Li, J., Deng, Y., Guo, M., & Yang, L. (2025) · Signals and communication technology · doi:10.1007/978-3-031-94973-9_4

An Enhanced Dual Transformer Contrastive Network for Multimodal Sentiment Analysis

Dao, P. Q., Roantree, M., & Ngo, V. M. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-36547-7_33

Image–Text Sentiment Analysis Based on Dual-Path Interaction Network with Multi-Level Consistency Learning

Ji, Z., Wu, C., Xu, Q., & Wu, Y. (2026) · Electronics · doi:10.3390/electronics15030581

Reducing image bias: collaborative multi-role reasoning with adaptive modality filtering for multimodal stance detection (ChinaMM2025–PaperID:119)

Liu, T., Yan, Y., Yang, Z., Li, Z., & Guo, F. (2026) · Multimedia Systems · doi:10.1007/s00530-026-02223-y

Reinforcement Learning Driven Fusion: Integrating Visual Segmentation and Textual Semantics for Sentiment Analysis

Han, Y., Wang, H., Zhiyuan, C., & Xu, T. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11462358

BiLPCL: Bidirectional sparse interaction and label-aware prototype contrastive learning framework for multimodal emotion recognition

Zhang, W., Du, Y., Wang, H., Li, X., & Lee, Y.-L. (2026) · Knowledge-Based Systems · doi:10.1016/j.knosys.2026.116192

Fine-tuning CLIP in spectral space for multimodal sentiment analysis

Qin, J., & Sun, Y. (2026) · Complex & Intelligent Systems · doi:10.1007/s40747-026-02280-w

Multimodal sentiment analysis based on modality-specific information and data augmentation

Wang, H., Zhang, Z. D., & Jiang, D. (2026) · Computing · doi:10.1007/s00607-026-01681-6

Multimodal sentiment analysis based on noise injection and adaptive multi-view dynamic fusion

Zheng, W., Chen, Q., Zhang, Z., & Cui, C. (2026) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-026-03205-2

PGMAF: Prototype-Guided Modal Adaptive Fusion for Multimodal Sentiment Analysis

Ma, G., Guo, W., Guan, H., Wu, K., Zhang, D., Zheng, X., Liu, C., & Lü, W. (2026) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd68734.2026.11582379

Multi-level global and local fusion for multimodal sentiment analysis

Zhang, B., Wang, J., Sun, B., & Ma, N. (2026) · Memetic Computing · doi:10.1007/s12293-026-00520-7

Distill-to-Fuse: A Text-Guided Knowledge Transfer Network for Multimodal Sentiment Detection

Shen, Y., & Song, B. (2026) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2026.3712636

CHSIM: counterfactual consistency and hierarchical modeling for semantic inconsistency in multimodal sentiment analysis

Zhang, S., Zhu, G., Zhao, Q., 曹传宇, Liu, S., & Li, K. (2026) · The Journal of Supercomputing · doi:10.1007/s11227-026-08758-1

Dynamic Reliable-Aware Router for Few-Shot Multimodal Sentiment Analysis

Lin, J., Cai, T., Chen, W., Yang, Z., & Liao, X. (2026) · IEEE International Conference on Computer Vision and Deep Learning (DLCV) · doi:10.1109/dlcv69906.2026.11635125

Enhancing VLM-based multimodal sentiment analysis via prompt tuning and contrastive decoding

Wang, X., Liu, Y., Chen, Y., Zhang, J., & Lu, X. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.114624

Image–Text Multimodal Sentiment Analysis with Large Model-Generated Descriptive Semantics and Difference-Aware Gated Fusion

Zhang, H., Yusufu, A., Liu, J., Ainiwaer, A., & Yusufu, A. (2026) · Electronics · doi:10.3390/electronics15163639

GSKA: Generative Semantic Anchoring and Bi-directional Knowledge Alignment for Multimodal Sentiment Analysis

Dong, C., Qian, J., & Wang, Q. (2026) · The Knowledge Engineering Review · doi:10.48130/ker-0026-0015

SAFN: Sentiment-Aware Fine-Grained Cross-Modal Alignment for Multimodal Emotion Recognition

Zhang, S., Zhu, G., Zhang, J., Zhang, S., Chen, M., & Mengxiao, Z. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-38401-0_10

A Multimodal Sentiment Analysis Method Based on Visual Emotional Representation and Text Semantic Enhancement Modeling

Sui, M., Gao, W., Zhang, H., Qi, L., Chen, T., & Zhang, B. (2026) · IEEE International Conference on Intelligence and Security Informatics (ISI) · doi:10.1109/isi69914.2026.11685848

Causal multimodal representation learning via adaptive causal concept orthogonal rank decoupling

Li, Y., Liu, Y., Lin, X., Wang, H., Yang, Q., Ma, L., & Li, P. (2026) · Visual Informatics · doi:10.1016/j.visinf.2026.100369

BMMAN: A Bi-directional Masked Multimodal Attention Network for Enhanced Image-Text Sentiment Analysis

Wushouer, M., Tuerhong, G., & Guo, X. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-28472-3_9

ACME: Aspect-aware Causal Mixture-of-Experts model for Multimodal Sentiment Analysis

Mengxiao, Z., Zhang, S., Zhang, J., Zhu, G., Zhang, S., & Chen, M. (2026) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn69854.2026.11729941

From Disentanglement to Evidence: Uncertainty-Aware Reasoning for Multimodal Sentiment Analysis

Chen, M., Zhang, S., Zhang, J., Zhang, S., Mengxiao, Z., & Zhu, G. (2026) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn69854.2026.11729604

DEKT: Dynamic Expert Routing with Cross-Modal Distillation and Tension-Aware Fusion for Multimodal Sentiment Analysis

Zhang, J., Li, D., Zhang, S., Zhu, G., Chen, M., Zhang, S., & Mengxiao, Z. (2026) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn69854.2026.11729000

MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation

Hu, J., Liu, Y., Zhao, J., & Jin, Q. (2021) · doi:10.18653/v1/2021.acl-long.440 · Cited by 368

A multi-relational graph convolutional network for multimodal sentiment analysis

Dau, H. M., & Phan, H. T. (2026) · International Journal of Intelligent Information and Database Systems · doi:10.1504/ijiids.2026.10078616

Graph Neural Network-Based Multimodal Emotion Recognition

Al-Saadawi, H. F. T. (2024) · doi:10.13140/rg.2.2.33721.74081

Multimodal Multi-loss Fusion Network for Sentiment Analysis

Wu, Z., Gong, Z., Koo, J., & Hirschberg, J. (2024) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.18653/v1/2024.naacl-long.197 · Cited by 90

Multimodal sentiment analysis in social media using deep learning with convolutional neural networks

Majumder, N. (2018) · Cited by 2