mlsanityData to 7 Oct 2026

Heterogeneous Social Event Detection via Hyperbolic Graph Representations

arXiv 2302.10362 ↗First posted 20 Feb 2023cs.SI cs.LGcited by 3

Not on the map. Why?

Abstract (arXiv)

Social events reflect the dynamics of society and, here, natural disasters and emergencies receive significant attention. The timely detection of these events can provide organisations and individuals with valuable information to reduce or avoid losses. However, due to the complex heterogeneities of the content and structure of social media, existing models can only learn limited information; large amounts of semantic and structural information are ignored. In addition, due to high labour costs, it is rare for social media datasets to include high-quality labels, which also makes it challenging for models to learn information from social media. In this study, we propose two hyperbolic graph representation-based methods for detecting social events from heterogeneous social media environments. For cases where a dataset has labels, we designed a Hyperbolic Social Event Detection (HSED) model that converts complex social information into a unified social message graph. This model addresses the heterogeneity of social media, and, with this graph, the information in social media can be used to capture structural information based on the properties of hyperbolic space. For cases where the dataset is unlabelled, we designed an Unsupervised Hyperbolic Social Event Detection (UHSED). This model is based on the HSED model but includes graph contrastive learning to make it work in unlabelled scenarios. Extensive experiments demonstrate the superiority of the proposed approaches.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 40 of its 86 references that are in the map. First posted on arXiv 20 Feb 2023.

Builds on

40 of 86 references.

References · 40

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
  3. 2017Graph Attention Networkscited by 8,854
  4. 2018Representation Learning with Contrastive Predictive Codingcited by 7,662
  5. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
  6. 2018Learning deep representations by mutual information estimation and maximizationcited by 1,265
  7. 2020Graph Contrastive Learning with Augmentationscited by 1,203
  8. 2018Deep Graph Infomaxcited by 1,101
  9. 2019Heterogeneous Graph Attention Networkcited by 732
  10. 2017Poincar'e Embeddings for Learning Hierarchical Representationscited by 674
  11. 2020GCC: Graph Contrastive Coding for Graph Neural Network Pre-Trainingcited by 461
  12. 2019Hyperbolic Graph Convolutional Neural Networkscited by 400
28 more
  1. 2018Hyperbolic Neural Networkscited by 393
  2. 2020MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embeddingcited by 304
  3. 2018Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometrycited by 261
  4. 2019Hyperbolic Graph Neural Networkscited by 244
  5. 2020Low-Dimensional Hyperbolic Knowledge Graph Embeddingscited by 195
  6. 2021Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networkscited by 176
  7. 2018Hyperbolic Entailment Cones for Learning Hierarchical Embeddingscited by 160
  8. 2020Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networkscited by 152
  9. 2021Hyperbolic Deep Neural Networks: A Surveycited by 138
  10. 2015A Survey of Heterogeneous Information Network Analysiscited by 109
  11. 2018Embedding Text in Hyperbolic Spacescited by 76
  12. 2019Hyperbolic Graph Attention Networkcited by 69
  13. 2021Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNscited by 51
  14. 2021Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphscited by 49
  15. 2021Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendationcited by 38
  16. 2020HyperText: Endowing FastText with Hyperbolic Geometrycited by 28
  17. 2021ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Networkcited by 24
  18. 2019Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networkscited by 23
  19. 2019Real-time Event Detection on Social Data Streamscited by 20
  20. 2022Dual Space Graph Contrastive Learningcited by 20
  21. 2020Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twittercited by 12
  22. 2021A Survey on Deep Learning Event Extraction: Approaches and Applicationscited by 12
  23. 2022From Known to Unknown: Quality-aware Self-improving Graph Neural Network for Open Set Social Event Detectioncited by 12
  24. 2021Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relationscited by 10
  25. 2021Transferring Knowledge Distillation for Multilingual Social Event Detectioncited by 7
  26. 2022Heterogeneous Graph Neural Network for Privacy-Preserving Recommendationcited by 6
  27. 2023State of the Art and Potentialities of Graph-level Learningcited by 6
  28. 2022Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theorycited by 5

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 0; 2025: 2.

3 papers.

  1. 2025Explicit and Implicit Data Augmentation for Social Event Detectioncited by 1
  2. 2023EnrichEvent: Enriching Social Data with Contextual Information for Emerging Event Extractioncited by 0
  3. 2025Multi-Order Hyperbolic Graph Convolution and Aggregated Attention for Social Event Detectioncited by 0