mlsanityData to 7 Oct 2026

Tensor Graph Convolutional Networks for Text Classification

arXiv 2001.05313 ↗First posted 12 Jan 2020cs.CL cs.IR cs.LGcited by 49

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Abstract (arXiv)

Compared to sequential learning models, graph-based neural networks exhibit some excellent properties, such as ability capturing global information. In this paper, we investigate graph-based neural networks for text classification problem. A new framework TensorGCN (tensor graph convolutional networks), is presented for this task. A text graph tensor is firstly constructed to describe semantic, syntactic, and sequential contextual information. Then, two kinds of propagation learning perform on the text graph tensor. The first is intra-graph propagation used for aggregating information from neighborhood nodes in a single graph. The second is inter-graph propagation used for harmonizing heterogeneous information between graphs. Extensive experiments are conducted on benchmark datasets, and the results illustrate the effectiveness of our proposed framework. Our proposed TensorGCN presents an effective way to harmonize and integrate heterogeneous information from different kinds of graphs.

Key facts. Cited by 49 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Jan 2020.

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Citing papers per year: 2021: 9; 2022: 13; 2023: 7; 2024: 13; 2025: 5; 2026: 2.

49 papers.

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  1. 2022Learning on Large-scale Text-attributed Graphs via Variational Inferencecited by 153
  2. 2021Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Predictioncited by 137
  3. 2021BertGCN: Transductive Text Classification by Combining GCN and BERTcited by 74
  4. 2023Large Language Models Are Zero-Shot Text Classifierscited by 35
  5. 2021Network of Tensor Time Seriescited by 32
  6. 2022CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learningcited by 32
  7. 2021Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLPcited by 17
  8. 2022Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysiscited by 17
  9. 2021Sparse Structure Learning via Graph Neural Networks for Inductive Document Classificationcited by 15
  10. 2022InducT-GCN: Inductive Graph Convolutional Networks for Text Classificationcited by 15
  11. 2023Graph Neural Networks for Text Classification: A Surveycited by 15
  12. 2021Hierarchical Heterogeneous Graph Representation Learning for Short Text Classificationcited by 13
37 more
  1. 2022ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classificationcited by 10
  2. 2021Multiplex Graph Networks for Multimodal Brain Network Analysiscited by 7
  3. 2024Explainable AI for Mental Disorder Detection via Social Media: A survey and outlookcited by 6
  4. 2024Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classificationcited by 5
  5. 2022Understanding Graph Convolutional Networks for Text Classificationcited by 4
  6. 2023Continual Graph Convolutional Network for Text Classificationcited by 4
  7. 2024RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregationcited by 4
  8. 2021BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Networkcited by 3
  9. 2022Supervised Contrastive Learning with Structure Inference for Graph Classificationcited by 3
  10. 2022Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognitioncited by 3
  11. 2024Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networkscited by 3
  12. 2024Predictive Insights into LGBTQ+ Minority Stress: A Transductive Exploration of Social Media Discoursecited by 3
  13. 2021Hierarchical information matters: Text classification via tree based graph neural networkcited by 2
  14. 2024CoT-Driven Framework for Short Text Classification: Enhancing and Transferring Capabilities from Large to Smaller Modelcited by 2
  15. 2025Jensen-Shannon Divergence Message-Passing for Rich-Text Graph Representation Learningcited by 2
  16. 2022Are We Really Making Much Progress in Text Classification? A Comparative Reviewcited by 1
  17. 2022Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Networkcited by 1
  18. 2022TeKo: Text-Rich Graph Neural Networks with External Knowledgecited by 1
  19. 2023Attention is Not Always What You Need: Towards Efficient Classification of Domain-Specific Textcited by 1
  20. 2024FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNscited by 1
  21. 2024Risks of ignoring uncertainty propagation in AI-augmented security pipelinescited by 1
  22. 2024Text Classification using Graph Convolutional Networks: A Comprehensive Surveycited by 1
  23. 2022Machine and Deep Learning Methods with Manual and Automatic Labelling for News Classification in Bangla Languagecited by 0
  24. 2022Text Representation Enrichment Utilizing Graph based Approaches: Stock Market Technical Analysis Case Studycited by 0
  25. 2023FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphscited by 0
  26. 2023Enhancing Classification with Hierarchical Scalable Query on Fusion Transformercited by 0
  27. 2023Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification Using Graph Neural Networks?cited by 0
  28. 2024Relational Graph Convolutional Networks for Sentiment Analysiscited by 0
  29. 2024Graph Edge Representation via Tensor Product Graph Convolutional Representationcited by 0
  30. 2024PQ-GCN: Enhancing Text Graph Question Classification with Phrase Featurescited by 0
  31. 2024Graph Neural Networks on Discriminative Graphs of Wordscited by 0
  32. 2025A Simple Graph Contrastive Learning Framework for Short Text Classificationcited by 0
  33. 2025Advanced Text Analytics -- Graph Neural Network for Fake News Detection in Social Mediacited by 0
  34. 2025TransGAT: Transformer-Based Graph Neural Networks for Multi-Dimensional Automated Essay Scoringcited by 0
  35. 2025A Novel Graph-Sequence Learning Model for Inductive Text Classificationcited by 0
  36. 2026Linguistically Informed Graph Model and Semantic Contrastive Learning for Korean Short Text Classificationcited by 0
  37. 2026ModTGCN: Modularity-aware Graph Neural Networks for Text Classificationcited by 0