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Multimodal Graph for Unaligned Multimodal Sequence Analysis via Graph Convolution and Graph Pooling
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10579-008-9076-6openalex-snapshot
IEMOCAP: interactive emotional dyadic motion capture database
inferredcites →https://doi.org/10.1016/j.inffus.2020.08.006openalex-snapshot
Quantum-inspired multimodal fusion for video sentiment analysis
inferredcites →https://doi.org/10.1016/j.inffus.2020.09.005openalex-snapshot
What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1109/72.279181openalex-snapshot
Learning long-term dependencies with gradient descent is difficult
inferredcites →https://doi.org/10.1109/72.286928openalex-snapshot
First-order versus second-order single-layer recurrent neural networks
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01276openalex-snapshot
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
inferredcites →https://doi.org/10.1109/icdm.2002.1183878openalex-snapshot
Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002
inferredcites →https://doi.org/10.1109/mis.2013.34openalex-snapshot
YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context
inferredcites →https://doi.org/10.1109/mis.2016.94openalex-snapshot
Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages
inferredcites →https://doi.org/10.1109/taffc.2020.3000510openalex-snapshot
Multi-Fusion Residual Memory Network for Multimodal Human Sentiment Comprehension
inferredcites →https://doi.org/10.1109/taffc.2022.3172360openalex-snapshot
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.1109/taslp.2021.3068598openalex-snapshot
Analyzing Multimodal Sentiment Via Acoustic- and Visual-LSTM With Channel-Aware Temporal Convolution Network
inferredcites →https://doi.org/10.1109/tmm.2017.2663324openalex-snapshot
Sparse Multigraph Embedding for Multimodal Feature Representation
inferredcites →https://doi.org/10.1109/tmm.2018.2867718openalex-snapshot
Cross-Modality Microblog Sentiment Prediction via Bi-Layer Multimodal Hypergraph Learning
inferredcites →https://doi.org/10.1109/tmm.2019.2925966openalex-snapshot
Locally Confined Modality Fusion Network With a Global Perspective for Multimodal Human Affective Computing
inferredcites →https://doi.org/10.1109/tmm.2020.3035277openalex-snapshot
Image-Text Multimodal Emotion Classification via Multi-View Attentional Network
inferredcites →https://doi.org/10.1109/tnn.2008.2005605openalex-snapshot
The Graph Neural Network Model
inferredcites →https://doi.org/10.1109/tnn.2008.2010350openalex-snapshot
Neural Network for Graphs: A Contextual Constructive Approach
inferredcites →https://doi.org/10.1109/tnnls.2020.2978942openalex-snapshot
Host–Parasite: Graph LSTM-in-LSTM for Group Activity Recognition
inferredcites →https://doi.org/10.1109/tpami.2018.2798607openalex-snapshot
Multimodal Machine Learning: A Survey and Taxonomy
inferredcites →https://doi.org/10.1109/tpami.2019.2906603openalex-snapshot
Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging
inferredcites →https://doi.org/10.1121/1.2935783openalex-snapshot
Speaker identification on the SCOTUS corpus
inferredcites →https://doi.org/10.1145/1143844.1143891openalex-snapshot
Connectionist temporal classification
inferredcites →https://doi.org/10.1145/2993148.2993176openalex-snapshot
Deep multimodal fusion for persuasiveness prediction
inferredcites →https://doi.org/10.1145/3136755.3136801openalex-snapshot
Multimodal sentiment analysis with word-level fusion and reinforcement learning
inferredcites →https://doi.org/10.1145/3363560openalex-snapshot
Affective Computing for Large-scale Heterogeneous Multimedia Data
inferredcites →https://doi.org/10.1145/3388861openalex-snapshot
Attention-Based Modality-Gated Networks for Image-Text Sentiment Analysis
inferredcites →https://doi.org/10.1145/3412846openalex-snapshot
Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification
inferredcites →https://doi.org/10.1609/aaai.v32i1.11782openalex-snapshot
An End-to-End Deep Learning Architecture for Graph Classification
inferredcites →https://doi.org/10.1609/aaai.v35i5.16554openalex-snapshot
Communicative Message Passing for Inductive Relation Reasoning
inferredcites →https://doi.org/10.17763/haer.47.3.8840364413869005openalex-snapshot
From Utterance to Text: The Bias of Language in Speech and Writing
inferredcites →https://doi.org/10.18653/v1/2020.acl-mainopenalex-snapshot
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-mainopenalex-snapshot
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/d18-1openalex-snapshot
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/d18-1014openalex-snapshot
Multimodal Language Analysis with Recurrent Multistage Fusion
inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
inferredcites →https://doi.org/10.18653/v1/p17-2openalex-snapshot
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
inferredcites →https://doi.org/10.18653/v1/p19-1openalex-snapshot
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
inferredcites →https://doi.org/10.18653/v1/p19-1152openalex-snapshot
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization
inferredcites →https://doi.org/10.18653/v1/p19-1656openalex-snapshot
Multimodal Transformer for Unaligned Multimodal Language Sequences
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.1803.01271openalex-snapshot
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
inferredcites →https://doi.org/10.48550/arxiv.2005.03545openalex-snapshot
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.48550/arxiv.2010.01666openalex-snapshot
Multi-Modal Retrieval using Graph Neural Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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TGCN-HCA: temporal graph convolution networks with hierarchical co-attention mechanisms for fake news detection
inferred← citeshttps://doi.org/10.1007/s11227-024-06422-0openalex-snapshot
TEMM: text-enhanced multi-interactive attention and multitask learning network for multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1007/s11227-024-06588-7openalex-snapshot
MST-ARGCN: modality-squeeze transformer with attentional recurrent graph capsule network for multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1007/s11227-026-08609-zopenalex-snapshot
A cross-modal imagination network based on joint calibration for multimodal sentiment analysis with missing modalities
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A mamba-driven transformer method for multimodal emotion recognition optimization
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Modality emotion semantic correlation analysis for multimodal emotion recognition
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CR-GAC: Cross-modal Recombination via Graph-Attention Collaborative Optimization for multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101958openalex-snapshot
SKEAFN: Sentiment Knowledge Enhanced Attention Fusion Network for multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102224openalex-snapshot
Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction
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Multimodal graph representation learning for robust surgical workflow recognition with adversarial feature disentanglement
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104197openalex-snapshot
Unsupervised multimodal graph completion networks with multi-level contrastiveness for modality-missing conversation understanding
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111149openalex-snapshot
Co-space Representation Interaction Network for multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126992openalex-snapshot
Dynamic hypergraph convolutional network for multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129566openalex-snapshot
Multimodal hypergraph network with contrastive learning for sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131380openalex-snapshot
A multi-view and multi-granularity emotional semantic interaction framework combining graph and attention mechanism for multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133179openalex-snapshot
Decoupled hypergraph modeling for multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109498openalex-snapshot
GTPF: Modality-specific graph transformer with prompt-aware fusion for multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111785openalex-snapshot
CIEG-Net: Context Information Enhanced Gated Network for multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111870openalex-snapshot
Towards robust sentiment analysis with multimodal interaction graph and hybrid contrastive learning
inferred← citeshttps://doi.org/10.1038/s41598-024-54872-6openalex-snapshot
Hierarchical graph contrastive learning of local and global presentation for multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1109/access.2024.3490772openalex-snapshot
Gated Fusion Network With Progressive Modality Enhancement for Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888163openalex-snapshot
A novel multimodal personality prediction method based on pretrained models and graph relational transformer network
inferred← citeshttps://doi.org/10.1109/isit62367.2026.11654141openalex-snapshot
Multi-Channel Batch-Wise Dynamic Hypergraph Network for Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/taslp.2024.3507576openalex-snapshot
Adaptive Multimodal Graph Integration Network for Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/tmm.2023.3306489openalex-snapshot
Multimodal Boosting: Addressing Noisy Modalities and Identifying Modality Contribution
inferred← citeshttps://doi.org/10.1109/tnse.2026.3668198openalex-snapshot
Distance-Aware Hypergraph and Attention Network With Unimodal Assistance for Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/vtc2025-spring65109.2025.11174446openalex-snapshot
Multi-Task Hypergraph-Attention Framework for Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.1145/3672398openalex-snapshot
Multimodal PEAR Chain-of-Thought Reasoning for Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.1371/journal.pone.0333628openalex-snapshot
Enhanced sentiment analysis in tourism reviews via multimodal graph convolutional networks
inferred← citeshttps://doi.org/10.32604/cmc.2025.066476openalex-snapshot
TGICP: A Text-Gated Interaction Network with Inter-Sample Commonality Perception for Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.3390/informatics13060078openalex-snapshot
A Multi-Scale Fusion Model with Text-Guided Reduced Attention for Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.3934/bdia.2026006openalex-snapshot
MEGAKANs: enhancing intermodal dependence with global channel-spatial attention and Kolmogorov-Arnold networks for multimodal sentiment analysis
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