mlsanityData to 14 Oct 2026

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

arXiv 2111.00180 ↗First posted 30 Oct 2021cs.CL cs.AIcited by 13

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Abstract (arXiv)

Short text classification is a fundamental task in natural language processing. It is hard due to the lack of context information and labeled data in practice. In this paper, we propose a new method called SHINE, which is based on graph neural network (GNN), for short text classification. First, we model the short text dataset as a hierarchical heterogeneous graph consisting of word-level component graphs which introduce more semantic and syntactic information. Then, we dynamically learn a short document graph that facilitates effective label propagation among similar short texts. Thus, compared with existing GNN-based methods, SHINE can better exploit interactions between nodes of the same types and capture similarities between short texts. Extensive experiments on various benchmark short text datasets show that SHINE consistently outperforms state-of-the-art methods, especially with fewer labels.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 18 of its 42 references that are in the map. First posted on arXiv 30 Oct 2021.

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18 of 42 references.

References · 18

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  3. 2016Convolutional Neural Networks on Graphs with Fast Localized Spectral Filteringcited by 2,089
  4. 2014Convolutional Neural Networks for Sentence Classificationcited by 1,127
  5. 2018Graph Convolutional Networks for Text Classificationcited by 345
  6. 2020Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddingscited by 214
  7. 2016Recurrent Neural Network for Text Classification with Multi-Task Learningcited by 144
  8. 2015PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networkscited by 96
  9. 2020Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networkscited by 77
  10. 2020Be More with Less: Hypergraph Attention Networks for Inductive Text Classificationcited by 74
  11. 2018Automated Machine Learning: From Principles to Practicescited by 62
  12. 2019Text Level Graph Neural Network for Text Classificationcited by 60
6 more
  1. 2020Tensor Graph Convolutional Networks for Text Classificationcited by 49
  2. 2021Search to aggregate neighborhood for graph neural networkcited by 48
  3. 2018Topic Memory Networks for Short Text Classificationcited by 25
  4. 2019Deep Short Text Classification with Knowledge Powered Attentioncited by 22
  5. 2020HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classificationcited by 21
  6. 2018Contextualized Non-local Neural Networks for Sequence Learningcited by 7

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Citing papers per year: 2022: 3; 2023: 3; 2024: 5; 2025: 1; 2026: 1.

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  1. 2024Knowledge Graph-Enhanced Large Language Models via Path Selectioncited by 28
  2. 2023Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidancecited by 24
  3. 2024Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insightscited by 21
  4. 2023Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Educationcited by 17
  5. 2023Molecular Property Prediction Based on Graph Structure Learningcited by 13
  6. 2022Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challengescited by 12
  7. 2022Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasetscited by 12
  8. 2024CoT-Driven Framework for Short Text Classification: Enhancing and Transferring Capabilities from Large to Smaller Modelcited by 2
  9. 2022Are We Really Making Much Progress in Text Classification? A Comparative Reviewcited by 1
  10. 2024Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inferencecited by 0
  11. 2024PQ-GCN: Enhancing Text Graph Question Classification with Phrase Featurescited by 0
  12. 2025A Simple Graph Contrastive Learning Framework for Short Text Classificationcited by 0
1 more
  1. 2026Linguistically Informed Graph Model and Semantic Contrastive Learning for Korean Short Text Classificationcited by 0