BertGCN: Transductive Text Classification by Combining GNN and BERT

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · arXiv · doi:10.48550/arxiv.1810.04805 · Cited by 73,173

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1423 · Cited by 54,325

Statistical Learning Theory

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Semi-supervised classification with graph convolutional networks

Kipf, T. N., & Welling, M. (2016) · arXiv · doi:10.48550/arxiv.1609.02907 · Cited by 24,853

Graph Attention NetworksPreprint

Veličković, P., Casanova, A., Liò, P., Cucurull, G., Romero, A., & Bengio, Y. (2017) · arXiv (Cornell University) · doi:10.17863/cam.48429 · Cited by 19,745

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., & Stoyanov, V. (2019) · arXiv · doi:10.48550/arxiv.1907.11692 · Cited by 16,515

Convolutional Neural Networks for Sentence Classification

Kim, Y. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1181 · Cited by 14,831

Momentum Contrast for Unsupervised Visual Representation Learning

He, K., Fan, H., Wu, Y., Xie, S., & Girshick, R. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.00975 · Cited by 13,347

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reimers, N., & Gurevych, I. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · doi:10.18653/v1/d19-1410 · Cited by 12,778

Graph Attention Networks

Veličković, P., Cucurull, G., Casanova, A., Romero, A., Liò, P., & Bengio, Y. (2017) · arXiv · doi:10.48550/arxiv.1710.10903 · Cited by 12,107

Sentiment Classification of Chinese Tourism Reviews Based on ERNIE-Gram+GCN

Yang, S., Duan, X., Xiao, Z., Li, Z., Liu, Y., Jie, Z., Tang, D., & Du, H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192013520 · Cited by 4

Multilingual pretrained based multi-feature fusion model for English text classification

Zhang, R. (2025) · Computer Science and Information Systems · doi:10.2298/csis240630004z · Cited by 3

On the Significance of Graph Neural Networks With Pretrained Transformers in Content‐Based Recommender Systems for Academic Article Classification

Liu, J., Castillo‐Cara, M., & García‐Castro, R. (2025) · Expert Systems · doi:10.1111/exsy.70073 · Cited by 4

On Enhancement of Text Classification and Analysis of Text Emotions Using Graph Machine Learning and Ensemble Learning Methods on Non-English Datasets

Gholami, F., Rahmati, Z., Mofidi, A., & Abbaszadeh, M. (2023) · Algorithms · doi:10.3390/a16100470 · Cited by 5

Predictive Insights into LGBTQ+ Minority Stress: A Transductive Exploration of Social Media Discourse

Chapagain, S., Zhao, Y., Rohleen, T. K., Hamdi, S. M., Boubrahimi, S. F., Flinn, R. E., Lund, E. M., Klooster, D., Scheer, J. R., & Cascalheira, C. J. (2024) · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · doi:10.1109/dsaa61799.2024.10722807 · Cited by 7

Research on paragraph-level functional structure recognition in scientific literature: a data augmentation method based on LLMs and lexical function

Liu, H., Chen, Z., Ding, Q., Zhang, J., Liu, J., Hu, J., & Lu, W. B. (2025) · Scientometrics · doi:10.1007/s11192-025-05355-6 · Cited by 5

Towards Explainable Table Interpretation Using Multi-view Explanations

Gao, Y., Wang, P., Zeng, X., Chen, L., Mao, Y., Wei, Z., & Li, M. (2023) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde55515.2023.00094 · Cited by 3

Maximal-Semantics-Augmented BertGCN for Text Classification

Yang, X., & Liu, W. (2023) · International Journal of Asian Language Processing · doi:10.1142/s2717554523500169 · Cited by 3

Bipartite Graph Coarsening for Text Classification Using Graph Neural Networks

dos Santos, N. R., Minatel, D., Valejo, A., & Lopes, A. D. A. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-49018-7_42 · Cited by 3

Enriching Language Models with Graph-Based Context Information to Better Understand Textual Data

Roethel, A., Ganzha, M., & Wróblewska, A. (2024) · Electronics · doi:10.3390/electronics13101919 · Cited by 3

CKG: Improving ABSA with text augmentation using ChatGPT and knowledge-enhanced gated attention graph convolutional networks

Gao, Y., Zhang, L., & Xu, Y. (2024) · PLoS ONE · doi:10.1371/journal.pone.0301508 · Cited by 3

GEML: a graph-enhanced pre-trained language model framework for text classification via mutual learning

Yu, T., Song, R., Pinto, S., Gomes, T., Tavares, A., & Xu, H. (2024) · Applied Intelligence · doi:10.1007/s10489-024-05831-1 · Cited by 3

EmoDialect: Leveraging Fuzzy Matching and Dialect-Emotion Mapping for Sentiment Analysis

Madhu, C., & S., S. (2025) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2024.3514862 · Cited by 3

Emotion Classification With Visibility Graphs

Şimşek, E., Topcu, A., Koç, E., Saritas, E. U., & Koç, A. (2025) · IEEE Signal Processing Letters · doi:10.1109/lsp.2025.3567033 · Cited by 2

LEGF-DST: LLMs-Enhanced Graph-Fusion Dual-Stream Transformer for Fine-Grained Chinese Malicious SMS Detection

Xin, T., Zhai, H., Wang, J., Yang, Y. Z., Peng, T., & Ling, G. (2024) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2024.059018 · Cited by 3

Token-Level Graphs for Short Text Classification

Donabauer, G., & Kruschwitz, U. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-88714-7_42 · Cited by 2

Dynamic Path Recommendation Algorithm for English Grammar Difficulties Based on Knowledge Graph and Reinforcement Learning

Li, H., & Li, Z. (2025) · International Journal of High Speed Electronics and Systems · doi:10.1142/s0129156425407648 · Cited by 2

Digital Preservation of Intangible Cultural Heritage Empowered by Blockchain Through Distributed Storage and Dynamic Traceability Algorithm Research

Zhao, J., & Chen, X. (2025) · International Journal of High Speed Electronics and Systems · doi:10.1142/s0129156425407697 · Cited by 2

Enhancing Marketing Strategies Through Deep Learning: A Computational Approach

Sun, X. (2025) · IEEE Access · doi:10.1109/access.2025.3606862 · Cited by 2

Graph Neural Networks Improve Quantized Transformers by Incorporating Global Relationships

Kumbasar, C. E., Özaktaş, H. M., & Koç, A. (2026) · IEEE Transactions on Signal and Information Processing over Networks · doi:10.1109/tsipn.2026.3654839 · Cited by 2

Diagnostic Prediction for Cervical Spondylotic Myelopathy Based on Multi-source Data in Electronic Medical Records

Zheng, S., Liang, G., Chen, J., Ye, Y., Chang, Y., Cai, Y., & Peng, S. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-20309-1_41 · Cited by 2

BAG: Text Classification Based on Attention Mechanism Combining BERT and GCN

李, 想. (2023) · Software Engineering and Applications · doi:10.12677/sea.2023.122023 · Cited by 2

Label-Dependent Hypergraph Neural Network for Enhanced Multi-label Text Classification

Xue, X., Wu, X.-M., Li, S., Liu, X., & Li, M. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-7254-8_4 · Cited by 2

Text classification based on PEGCN : Graph convolution classification using location information and edge features

Zhang, R., Guo, Z., & Huan, H. (2023) · Expert Systems · doi:10.1111/exsy.13511 · Cited by 2

Graph Neural Networks for Antisocial Behavior Detection on Twitter

Toshevska, M., Kalajdziski, S., & Gievska, S. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-54321-0_15 · Cited by 2

Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification

Liu, T., Hu, Y., Gao, J., Sun, Y., & Yin, B. (2024) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2024.3369530 · Cited by 4

Fraud Detection Based on Credit Review Texts with Dual Channel Memory Networks

Wang, Y., Lian, D., & Chen, E. (2024) · Applied Artificial Intelligence · doi:10.1080/08839514.2024.2385854 · Cited by 2

Attack Behavior Extraction Based on Heterogeneous Threat Intelligence Graphs and Data Augmentation

Li, J., Zhang, R., & Liu, J. (2024) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn60899.2024.10650068 · Cited by 2

LIT: Label-Informed Transformers on Token-Based Classification

Sun, W., Tran, H. T. H., González-Gallardo, C.-E., Coustaty, M., & Doucet, A. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72437-4_9 · Cited by 2

LTCR: Long-Text Chinese Rumor detection dataset

Ma, Z., Liu, M., Fang, G., & Shen, Y. (2025) · Neural Computing and Applications · doi:10.1007/s00521-025-11260-z · Cited by 6

Distance mean‐square loss function for ordinal text classification of emergency service response codes in disaster management

Lee, E., Byon, S., Jung, E., Kwon, E., & Park, H. (2025) · ETRI Journal · doi:10.4218/etrij.2024-0478 · Cited by 2

Inconsistency detection in cancer data classification using explainable-AI

Mortezaagha, P., Joshi, A. M., & Rahgozar, A. (2025) · BMC Artificial Intelligence · doi:10.1186/s44398-025-00005-6 · Cited by 4

Active Learning Strategy for COVID-19 Annotated Dataset

Nazir, A., & Fajri, R. M. (2021) · IEEE Access · doi:10.1109/access.2021.3130383 · Cited by 2

Multi-task Learning-based Text Classification with Subword-Phrase Extraction

Kimura, Y., Komamizu, T., & Hatano, K. (2022) · International Symposium on Information and Communication Technology · doi:10.1145/3568562.3568635 · Cited by 2

Customer Complaint Guided Fault Localization Based on Domain Knowledge Graph

Sun, S., Chai, Z., Wu, R., Jin, J., Wang, Y., Xu, W., & Qi, G. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-30678-5_43 · Cited by 2

Bandit Interpretability of Deep Models via Confidence Selection

Duan, X., Li, H., Wang, P., Wang, T., Liu, B., & Zhang, B. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.126250 · Cited by 2

Graph Based Zero Shot Adverse Drug Reaction Detection from Social Media Reviews Using GPT-Neo

Dey, A., Shrivastava, J. N., & Kumar, C. (2023) · Springer tracts in human-centered computing · doi:10.1007/978-981-99-3478-2_21 · Cited by 2

Concept and dependencies enhanced graph convolutional networks for short text classification

Zhang, H., Bai, P., & Li, R. (2023) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-222407 · Cited by 2

A psychological evaluation method incorporating noisy label correction mechanism

Jin, Z., Su, R., Liu, Y., & Duan, C. (2024) · Soft Computing · doi:10.1007/s00500-023-09479-w · Cited by 3

Fusing AraBERT and Graph Neural Networks for Enhanced Arabic Text Classification

Karajeh, O., Al-Kabi, M. N., & Fox, E. A. (2023) · International Arab Conference on Information Technology (ACIT) · doi:10.1109/acit58888.2023.10453909 · Cited by 4

Exploring graph representation strategies for text classification

Ehrenfried, H. V., Date, V. T. V., & Todt, E. (2023) · Connection Science · doi:10.1080/09540091.2023.2289832 · Cited by 1

Arabic Tweet Act: A Graph Convolution Network-based Classifier for Classifying Arabic Speech Acts in Twitter

Alshehri, K., Alhothali, A., & Alowidi, N. (2024) · International Conference on Pattern Recognition Systems (ICPRS) · doi:10.1109/icprs62101.2024.10677837 · Cited by 1

Semantic improved representation for test questions via discipline domain graph and multi-view interaction

Yang, S., Du, X., Li, H., Wang, J., & Zhao, J. (2024) · Information Sciences · doi:10.1016/j.ins.2024.121760 · Cited by 1

Text Classification Method Based on Graph Neural Networks

Gao, R. (2025) · ITM Web of Conferences · doi:10.1051/itmconf/20257302015 · Cited by 1

Quantum Inspired Zeroshot Classification For Adverse Drug Reactions Detection From Social Media Reviews

Dey, A., & Shrivastava, J. N. (2024) · Global AI Summit - International Conference on Artificial Intelligence and Emerging Technology (AI Summit) · doi:10.1109/globalaisummit62156.2024.10947885 · Cited by 1

An Adaptive Methodology for Constructing Domain-Specific Sentiment Lexicons Based on Chinese Social Media Data

Xu, X., Liu, H., & Liu, L. (2025) · IEEE Access · doi:10.1109/access.2025.3572077 · Cited by 1

Enhancing text classification with BERT-based graph representations using novel contextual metrics

Youb, I., Ventura, S., Hamlich, M., & Al-Obeidat, F. N. (2025) · Progress in Artificial Intelligence · doi:10.1007/s13748-025-00377-w · Cited by 1

Segmentation, fusion, and representation: A novel approach to multi-label classification for long texts

Wang, X., Xiao, J., Zhang, W., Deng, T., & Wang, Q. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.129825 · Cited by 1

MSDC: Aspect-level sentiment analysis model based on multi-scale dual-channel feature fusion

Lou, X., Liu, G., & Xu, Y. (2025) · PLoS ONE · doi:10.1371/journal.pone.0328839 · Cited by 1

Enhancing Course Planning with BERT-Infused GAT Embeddings and Integer Linear Programming

Olmos, L., Kaplan, A., & Jalalitabar, M. (2025) · IEEE Annual Computing and Communication Workshop and Conference (CCWC) · doi:10.1109/ccwc62904.2025.10903901 · Cited by 1

RG-Hybrid: pure late fusion of RoBERTa and a graph transformer for robust, interpretable sentiment classification

Alahmadi, K., Alharbi, S., & WANG, X. (2026) · International Journal of Data Science and Analytics · doi:10.1007/s41060-026-01112-x · Cited by 1

A BERT-based Heterogeneous Graph Convolution Approach for Mining Organization-Related Topics

Qian, H., Yuan, M., Li, Q., & Zeng, D. D. (2022) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn55064.2022.9892965 · Cited by 1

Knowledge Base Entity Typing From Text via Entity-Aware Heterogeneous Graph Attention Network

Xu, B., Sun, Z., Du, M., Song, H., & Wang, H. (2022) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn55064.2022.9892979 · Cited by 1

Augmenting Feature Representation with Gradient Penalty for Robust Text Categorization

Wang, D., Cheng, L., & Wang, Z. (2023) · International Journal of Intelligent Systems · doi:10.1155/2023/7386888 · Cited by 1

Enhancing BERT for Short Text Classification with Latent Information

Tang, A., Hu, Y., & Yan, R. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-30111-7_11 · Cited by 1

Artificial Neural Network for Multi-label Medical Text Classification

Tiaiba, H., Sabri, L., Chibani, A., & Kazar, O. (2022) · International Conference on New Technologies of Information and Communication (NTIC) · doi:10.1109/ntic55069.2022.10100430 · Cited by 1

Biomedical Document Classification with Literature Graph Representations of Bibliographies and Entities

Ida, R., Miwa, M., & Sasaki, Y. (2023) · Workshop on Biomedical Language Processing (BioNLP) · doi:10.18653/v1/2023.bionlp-1.36 · Cited by 1

An Automatic Labeling Method for Subword-Phrase Recognition in Effective Text Classification

Kimura, Y., Komamizu, T., & Hatano, K. (2023) · Informatica · doi:10.31449/inf.v47i3.4742 · Cited by 3

AutoTGRL: an automatic text-graph representation learning framework

Al-Sabri, R., Gao, J., Chen, J., Olouladé, B. M., & Lyu, T. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-09226-0 · Cited by 1

A Heterogeneous Network fused with Context-aware Contrastive Learning for Sarcasm Topic-Target Pair Identification

Yuan, M., Xiang, M., Song, Y., Li, Q., Fu, J., & Zeng, D. D. (2024) · International World Wide Web Conference (WWW) · doi:10.1145/3589335.3651462 · Cited by 1

Sentiment Analysis of Online Product Reviews Based on Text Graph Convolutional Networks

尚, 娜. (2024) · Statistics and Applications · doi:10.12677/sa.2024.133058 · Cited by 1

Quad-Faceted Feature-Based Graph Network for Domain-Agnostic Text Classification to Enhance Learning Effectiveness

Supraja, S., & Khong, A. W. H. (2024) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2024.3421632 · Cited by 1

Improving Zero-Shot Stance Detection by Infusing Knowledge from Large Language Models

Guo, M., Jiang, X., & Liao, Y. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-5618-6_11 · Cited by 2

Research on Text Classification Methods by Fusing DeBERTa Model with Graph Convolutional Networks

刘, 琪. (2024) · Artificial Intelligence and Robotics Research · doi:10.12677/airr.2024.134072 · Cited by 1

Graph-Guided Multi-view Text Classification: Advanced Solutions for Fast Inference

Gao, N., Wang, Y., Chen, P., & Zheng, X. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72344-5_9 · Cited by 1

Bi-Directional Tracklet Embedding for Multi-Object Tracking

Bilgi, H. Ç., & Alatan, A. A. (2024) · Proceedings - International Conference on Image Processing · doi:10.1109/icip51287.2024.10648019 · Cited by 1

Hierarchical multi-label classification model for science and technology news based on heterogeneous graph semantic enhancement

Cheng, Q., Cheng, J., Chen, J., & Liu, S. (2024) · PeerJ Computer Science · doi:10.7717/peerj-cs.2469 · Cited by 1

The Outcomes and Publication Standards of Research Descriptions in Document Classification: A Systematic Review

Mirończuk, M., Müller, A., & Witold Pedrycz, C. (2024) · IEEE Access · doi:10.1109/access.2024.3513550 · Cited by 1

A BERT and TextCNN integration-based Method for Public Complaints and Proposals Text Classification

Pang, H., & Li, C. (2024) · International Conference on Computer Science and Application Engineering (CSAE) · doi:10.1145/3704814.3704819 · Cited by 1

Evaluation of the Impact of Privacy-Enhancing Technologies on Data Security Compliance in Regulated Frameworks

Xu, Y. (2025) · International Journal of High Speed Electronics and Systems · doi:10.1142/s0129156425406539 · Cited by 1

SceEmoNet: A Sentiment Analysis Model with Scene Construction Capability

Liang, Y., Han, D., He, Z., Kong, B., & Wen, S. (2025) · Applied Sciences · doi:10.3390/app15158588 · Cited by 2

Enhancing Review Classification Via Llm-Based Data Annotation and Multi-Perspective Feature Representation LearningPreprint

Huang, J., Yi, B., Sun, W., Wan, B., Xu, Y., Feng, Y., Ye, W., & Qin, Q. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5002351 · Cited by 2

Auxiliary uncertainty signals for LLM-assisted systematic review screening: a benchmark across eight Cohen drug-class reviews

Rahgozar, A., & Mortezaagha, P. (2026) · arXiv · doi:10.48550/arxiv.2608.14551

Combining Pretrained and Graph Models for Text Classification

Hao, K., Li, J., Hou, C., Wang, X., & Li, P. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-92307-5_49 · Cited by 1

Fusion of Global and Local Features for Text Classification

Hou, Y., Cheng, G., Zhang, Y., & Zhang, D. (2022) · Asia Conference on Algorithms, Computing and Machine Learning (CACML) · doi:10.1109/cacml55074.2022.00075

BHGAN: A Hierarchical Graph Network Based on Feature Enhancement

Zhang, J., Cui, Z., Park, H. J., & Noh, G. (2022) · International Conference on Engineering and Emerging Technologies (ICEET) · doi:10.1109/iceet56468.2022.10007363

Unsupervised Learning via Graph Convolutional Network for Stock Trend Prediction

Sun, M., Chen, R., Zhang, J., & Wang, S. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-29056-5_32

KPE-GCN: A Keyphrase-Enhanced Graph Convolutional Network for Imbalanced Text Classification

Zhao, H., Zhao, H., & Hou, L. (2022) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai56018.2022.00050

Multi-display Graph Attention Network for Text Classification

Bao, X., Zhou, Z., Gao, S., Dong, Z., & Lin, Y. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-40289-0_7

Identifying key elements for evidence-base medicine using pretrained model and graph convolution network

Yang, F., Xu, X., Wu, M., Wang, X., Shen, L., Qian, Q., & Li, J. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2023.08.022

Graph-Based Diagnostic Prediction Model Based on Global Visit Contexts

He, L., Wang, J., & Li, X. (2023) · Communications in computer and information science · doi:10.1007/978-981-99-7869-4_8

A Novel Method for Identifying Bipolar Disorder Based on Diagnostic Texts

Gao, H., Chen, L., Zhou, Y. B., Chi, K., & Chan, S. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-8462-6_5

Multi-sentence and multi-intent classification using RoBERTa and graph convolutional neural networkPreprint

Ravi, K., Singh, A. V., & Gautam, C. (2024) · Research Square · doi:10.21203/rs.3.rs-3960194/v1

Automated Offensive Comment Detection for the Romanian Language

Paraschiv, A., Cojocaru, A., & Dascălu, M. (2024) · Learning and analytics in intelligent systems · doi:10.1007/978-3-031-53957-2_5

Case Reports Unlocked: Harnessing Large Language Models to Advance Research on Child MaltreatmentPreprint

Stoll, D., Wehrli, S., & Lätsch, D. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4928223

Enhancing stock price prediction with CommentGCN and OPERA for stock comments from social mediaPreprint

Zhu, C., Yang, C., Feng, W., & Yuan, P. (2024) · Research Square · doi:10.21203/rs.3.rs-4790354/v1

SeqCondenser: Inductive Representation Learning of Sequences by Sampling Characteristic Functions

Chenebaux, M., & Cazenave, T. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-70563-2_1

A Novel Graph Neural Network Based Model for Text Classification

Xiong, R., Zheng, H., & Wang, Z. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72350-6_5

HGNN: A Hybrid Graph Neural Network Based on Transfer Learning for Linguistic Steganalysis

Arısoy, M. V. (2024) · Afyon Kocatepe University Journal of Sciences and Engineering · doi:10.35414/akufemubid.1427644

Cross-loop contrast of heterogeneous graphs for interdisciplinary journal recommendation

Li, Y. C., Liang, Y., Li, Q., Sun, H., Du, W., Jiang, Y., & Ma, Q. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.125949

Application of BERT-GraphSAGE Model in Text and Paper Classification Tasks

Lu, J., Zheng, L., & Zhang, M. (2024) · Lecture notes in computer science · doi:10.1007/978-981-96-0847-8_22

Combining Graph NN and LLM for Improved Text-Based Emotion Recognition

Zou, X., & Markov, K. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-81542-3_12

Token Embedding Graph Neural Network for Paper Classification

Cai, S., & Gan, X. (2024) · International Conference on Artificial Intelligence and Computer Engineering (ICAICE) · doi:10.1109/icaice63571.2024.10864147

Text Classification Model Based on Dependency Attention Graph Convolution

Li, C. N., Wu, S., Li, Y., Cao, J. F., & Meng, R. (2024) · International Conference on Electronic Information Engineering and Computer Communication (EIECC) · doi:10.1109/eiecc64539.2024.10929607

Research on Multi channel Text Classification Method Based on Neural Network

Liang, K., Wang, B., & Yuan, F. (2024) · International Conference on Information Technology in Medicine and Education · doi:10.1109/itme63426.2024.00171

PSCA: Position-Syntax and Cross-Aspect for Aspect-based Sentiment Analysis in One Model

Zhou, N., Sun, L., Han, M., & He, S. (2024) · IEEE International Conference on Computer and Communications (ICCC) · doi:10.1109/iccc62609.2024.10941921

ASC: Aggregating Sentence-Level Classifications for Multi-label Long Text Classification

Komamizu, T. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-4288-5_14

A novel graph kernel algorithm for improving the effect of text classification

Yang, F., Zhu, T., Huang, J., Huang, Z., & Xie, G. (2025) · Computer Speech & Language · doi:10.1016/j.csl.2025.101818

A Novel Graph Convolutional Text Classification Based on Token-Task Learning

Huang, J., Li, C., Sun, R., & Song, X. (2025) · Journal of Intelligent & Fuzzy Systems · doi:10.1177/18758967251353020

Application of Machine Vision Technology in Automated Financial Auditing and Compliance Inspection

Xu, W., & Tang, J. (2025) · International Journal of High Speed Electronics and Systems · doi:10.1142/s0129156425406795

BertGCN: Transductive Text Classification by Combining GCN and BERTPreprint

Lin, Y., Meng, Y., Sun, X., Han, Q., Kuang, K., Li, J., & Wu, F. Q. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.05727 · Cited by 95

TextGCL: Graph Contrastive Learning for Transductive Text Classification

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