SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition | Paper Citation Record

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This paper cites MCSFF: Multi-modal Consistency and Specificity Fusion Framework for Entity Alignment.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition MCSFF: Multi-modal Consistency and Specificity Fusion Framework for Entity Alignment

Reference 1

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This paper cites SEG:Seeds-Enhanced Iterative Refinement Graph Neural Network for Entity Alignment.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition SEG:Seeds-Enhanced Iterative Refinement Graph Neural Network for Entity Alignment

Reference 2

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This paper cites Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification

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This paper cites Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classification.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classification

Reference 4

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This paper cites Der-gcn:Dialogandevent relation-aware graph convolutional neural network for multimodal dialog emotion recognition.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Der-gcn:Dialogandevent relation-aware graph convolutional neural network for multimodal dialog emotion recognition

Reference 5

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This paper cites DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition

Reference 6

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This paper cites Edge- enhanced minimum-margin graph attention network for short text classification.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Edge- enhanced minimum-margin graph attention network for short text classification

Reference 7

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This paper cites A two-stage multimodal emotion recognition model based on graph contrastivelearning,in:2023IEEE29thInternationalConferenceon Parallel and Distributed Systems (ICPADS), IEEE.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition A two-stage multimodal emotion recognition model based on graph contrastivelearning,in:2023IEEE29thInternationalConferenceon Parallel and Distributed Systems (ICPADS), IEEE

Reference 8

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Observation 43f4f485-d947-44e8-9a33-03eb3e5ff254 · outbound

This paper cites Deepcanonical correlationanalysis,in:Internationalconferenceonmachinelearning, PMLR.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Deepcanonical correlationanalysis,in:Internationalconferenceonmachinelearning, PMLR

Reference 9

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This paper cites Hypergraph convolution and hypergraph attention.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Hypergraph convolution and hypergraph attention

Reference 10

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This paper cites Greedy layer-wisetrainingofdeepnetworks,in:ProceedingsoftheAdvances in Neural Information Processing Systems, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Greedy layer-wisetrainingofdeepnetworks,in:ProceedingsoftheAdvances in Neural Information Processing Systems, pp

Reference 11

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Observation b9394fb5-b633-4bbf-897e-a89acab84e03 · outbound

This paper cites Beyond low-frequency information in graph convolutional networks, in: Proceedings of the AAAI conference on artificial intelligence, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Beyond low-frequency information in graph convolutional networks, in: Proceedings of the AAAI conference on artificial intelligence, pp

Reference 12

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This paper cites Iemocap: Interactive emotional dyadic motion capture database.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Iemocap: Interactive emotional dyadic motion capture database

Reference 13

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This paper cites Deep adversarial learningformulti-modalitymissingdatacompletion,in:Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Deep adversarial learningformulti-modalitymissingdatacompletion,in:Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining, pp

Reference 14

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This paper cites Semeval- 2019task3:Emocontextcontextualemotiondetectionintext,in:Pro- ceedings of the 13th international workshop on semantic evaluation, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Semeval- 2019task3:Emocontextcontextualemotiondetectionintext,in:Pro- ceedings of the 13th international workshop on semantic evaluation, pp

Reference 15

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This paper cites an unresolved cited work.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Unresolved cited work

Reference 16

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This paper cites M2fnet: Multi-modal fusion network for emotion recogni- tioninconversation,in:ProceedingsoftheIEEE/CVFConferenceon Computer Vision and Pattern Recognition, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition M2fnet: Multi-modal fusion network for emotion recogni- tioninconversation,in:ProceedingsoftheIEEE/CVFConferenceon Computer Vision and Pattern Recognition, pp

Reference 17

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This paper cites Fusing pairwise modalities for emotion recognition in conversations.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Fusing pairwise modalities for emotion recognition in conversations

Reference 18

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This paper cites Dialoguegcn: A graph convolutional neural network for emotion recognition in conversation, in: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Dialoguegcn: A graph convolutional neural network for emotion recognition in conversation, in: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp

Reference 19

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This paper cites Relations between two sets of variates, in: Breakthroughs in statistics.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Relations between two sets of variates, in: Breakthroughs in statistics

Reference 20

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SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Unresolved cited work

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This paper cites Gcnet:Graphcom- pletion network for incomplete multimodal learning in conversation.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Gcnet:Graphcom- pletion network for incomplete multimodal learning in conversation

Reference 22

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This paper cites Com- pleter:Incompletemulti-viewclusteringviacontrastiveprediction,in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Com- pleter:Incompletemulti-viewclusteringviacontrastiveprediction,in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 23

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This paper cites An efficient approach for audio-visual emotion recognition with missing labels and missing modalities, in: 2021 IEEE International Conference on Multimedia and Expo (ICME), IEEE.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition An efficient approach for audio-visual emotion recognition with missing labels and missing modalities, in: 2021 IEEE International Conference on Multimedia and Expo (ICME), IEEE

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This paper cites Maximum Likelihood Estimation for Multimodal Learning with Missing Modality.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Maximum Likelihood Estimation for Multimodal Learning with Missing Modality

Reference 25

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This paper cites Dialoguernn: An attentive rnn for emotion detection in conversations, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Dialoguernn: An attentive rnn for emotion detection in conversations, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

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This paper cites A multi-message passing framework based on heterogeneous graphs in conversational emotion recognition.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition A multi-message passing framework based on heterogeneous graphs in conversational emotion recognition

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This paper cites Deep imbalanced learning for multimodal emotion recognition in conversations.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Deep imbalanced learning for multimodal emotion recognition in conversations

Reference 28

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This paper cites Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum

Reference 29

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This paper cites IEEE/ACM Transactions on Audio, Speech, and Language Processing.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition IEEE/ACM Transactions on Audio, Speech, and Language Processing

Reference 30

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This paper cites I-gcn:Incremental graphconvolutionnetworkforconversationemotiondetection.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition I-gcn:Incremental graphconvolutionnetworkforconversationemotiondetection

Reference 31

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Reference 32

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This paper cites Found in translation: Learning robust joint representations by cyclic translationsbetweenmodalities,in:ProceedingsoftheAAAIconfer- ence on artificial intelligence, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Found in translation: Learning robust joint representations by cyclic translationsbetweenmodalities,in:ProceedingsoftheAAAIconfer- ence on artificial intelligence, pp

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This paper cites Context-dependent sentiment analysis in user- generated videos, in: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Context-dependent sentiment analysis in user- generated videos, in: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, pp

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This paper cites Modelingrelationaldatawithgraphconvolutional networks,in:EuropeanSemanticWebConference,Springer.pp.593– 607.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Modelingrelationaldatawithgraphconvolutional networks,in:EuropeanSemanticWebConference,Springer.pp.593– 607

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This paper cites 14752–14766.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition 14752–14766

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This paper cites Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations

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This paper cites CILF-CIAE: CLIP-driven Image-Language Fusion for Correcting Inverse Age Estimation.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition CILF-CIAE: CLIP-driven Image-Language Fusion for Correcting Inverse Age Estimation

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This paper cites Graph informa- tion bottleneck for remote sensing segmentation.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Graph informa- tion bottleneck for remote sensing segmentation

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This paper cites Graphunet: Graph make strong encoders for remote sensing segmentation, in: 2023IEEE29thInternationalConferenceonParallelandDistributed Systems (ICPADS), IEEE.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Graphunet: Graph make strong encoders for remote sensing segmentation, in: 2023IEEE29thInternationalConferenceonParallelandDistributed Systems (ICPADS), IEEE

Reference 40

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This paper cites Maskedcontrastivegraph representation learning for age estimation.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Maskedcontrastivegraph representation learning for age estimation

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This paper cites SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples

Reference 42

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This paper cites Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck

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This paper cites A low- rank matching attention based cross-modal feature fusion method for conversational emotion recognition.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition A low- rank matching attention based cross-modal feature fusion method for conversational emotion recognition

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This paper cites Objectdetectioninmedicalimagesbasedonhierarchicaltransformer and mask mechanism.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Objectdetectioninmedicalimagesbasedonhierarchicaltransformer and mask mechanism

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.910679Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9121ecc5-81ee-455a-bde5-0477db8990a7 · outbound

This paper cites Conversational emotion recognition studies based on graph convolutional neural networks and a dependent syntactic analysis.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Conversational emotion recognition studies based on graph convolutional neural networks and a dependent syntactic analysis

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.896673Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 629c6715-f7b1-49e2-9b9d-b6bb0d06a8b3 · outbound

This paper cites Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition

Reference 47

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This paper cites A comprehensive surveyonmulti-modalconversationalemotionrecognitionwithdeep learning.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition A comprehensive surveyonmulti-modalconversationalemotionrecognitionwithdeep learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T05:50:39.143060Z

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Observation 4194215c-8cc6-4016-ba14-c3b09d7bacb9 · outbound

This paper cites Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.882531Z

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Observation 48225992-cb20-4da2-bf80-7d9b93d6f25b · outbound

This paper cites Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion

Reference 50

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This paper cites Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T05:50:39.156704Z

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This paper cites Dropout:asimplewaytopreventneuralnetworksfrom overfitting.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Dropout:asimplewaytopreventneuralnetworksfrom overfitting

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.869176Z

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Observation 197ca7c0-3019-4077-bdb0-134314602bd2 · outbound

This paper cites Efficient multimodal transformer with dual-level feature restoration for robust multimodal sentiment analysis.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Efficient multimodal transformer with dual-level feature restoration for robust multimodal sentiment analysis

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.855746Z

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Observation cf8b08ae-9425-4388-a4a1-18575bfbd828 · outbound

This paper cites Missing modalities imputation via cascaded residual autoencoder, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Missing modalities imputation via cascaded residual autoencoder, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.842927Z

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Observation af5c0672-f403-4d5a-af04-1b0d8542c900 · outbound

This paper cites Multimodal transformer for unaligned mul- timodal language sequences, in: Proceedings of the 57th Conference of the Association for Computational Linguistics, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Multimodal transformer for unaligned mul- timodal language sequences, in: Proceedings of the 57th Conference of the Association for Computational Linguistics, pp

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.829021Z

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Observation 3c8f6a41-031c-4757-addb-f48feb46d15a · outbound

This paper cites Attention is all you need, in: Proceedings of the Advances in Neural Information Processing Systems, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Attention is all you need, in: Proceedings of the Advances in Neural Information Processing Systems, pp

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.813928Z

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Observation 6463e134-f4fb-4498-a729-2b45eb1e0b6a · outbound

This paper cites Ex- tracting and composing robust features with denoising autoencoders, in: Proceedings of the 25th international conference on Machine learning, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Ex- tracting and composing robust features with denoising autoencoders, in: Proceedings of the 25th international conference on Machine learning, pp

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.799322Z

Source-reported events for the cited work

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Observation 0197a09b-cd9b-4438-b093-35ea5b512a0f · outbound

This paper cites Partialmulti-view clustering via consistent gan, in: IEEE International Conference on Data Mining (ICDM), pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Partialmulti-view clustering via consistent gan, in: IEEE International Conference on Data Mining (ICDM), pp

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.784438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9b529376-c466-4c53-bb78-6345f5574f2f · outbound

This paper cites On deep multi- viewrepresentationlearning,in:Internationalconferenceonmachine learning, PMLR.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition On deep multi- viewrepresentationlearning,in:Internationalconferenceonmachine learning, PMLR

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.769013Z

Source-reported events for the cited work

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Observation 4504e1d1-e3b3-4c76-9f92-311d4a5643c1 · outbound

This paper cites Distribution-consistent modal recoveringforincompletemultimodallearning,in:Proceedingsofthe IEEE/CVFInternationalConferenceonComputerVision(ICCV),pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Distribution-consistent modal recoveringforincompletemultimodallearning,in:Proceedingsofthe IEEE/CVFInternationalConferenceonComputerVision(ICCV),pp

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.753739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1f1f6048-ed4b-4e53-82a9-88c19f15631d · outbound

This paper cites Emotion recognitioninconversationbasedonadynamiccomplementarygraph convolutional network.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Emotion recognitioninconversationbasedonadynamiccomplementarygraph convolutional network

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.738878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6e046ddf-7c5a-4e81-9869-ca3a2c326358 · outbound

This paper cites Prediction model of dow jones index based on lstm-adaboost, in: 2021 International Conference on Communications, Information System and Computer Engineering (CISCE), IEEE.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Prediction model of dow jones index based on lstm-adaboost, in: 2021 International Conference on Communications, Information System and Computer Engineering (CISCE), IEEE

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.723487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation de2469bc-a409-4ced-9367-cef8e5fd9a8c · outbound

This paper cites Transformer-based feature reconstruction network for robust multimodal sentiment analysis, in: Proceedings of the 29th ACM International Conference on Multime- dia, pp.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Transformer-based feature reconstruction network for robust multimodal sentiment analysis, in: Proceedings of the 29th ACM International Conference on Multime- dia, pp

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.707583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 47c93949-0e38-4731-8dcd-9ecfbaeb51a7 · outbound

This paper cites Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.690673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f976898e-42b4-425d-9cf1-53fb621c7050 · outbound

This paper cites an unresolved cited work.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:50:39.673995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 067f5605-28d9-41a7-91bb-71c46387fc3d · outbound

This paper cites Deep partial multi-view learning.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Deep partial multi-view learning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.643167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 96fac1f5-28f6-43aa-8d01-f7dcdd6ca112 · outbound

This paper cites A multi-level alignment and cross-modal unified semantic graph refinement network for con- versational emotion recognition.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition A multi-level alignment and cross-modal unified semantic graph refinement network for con- versational emotion recognition

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.627637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 00280d9e-bfed-44c1-98f5-6f3ca836ae67 · outbound

This paper cites an unresolved cited work.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:50:39.611432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 68f63875-e9b4-4d9f-a449-7d97a7d358ec · outbound

This paper cites 2236–2246.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition 2236–2246

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:50:39.658674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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