Image de couverture de livre

A Simple Graph Contrastive Learning Framework for Short Text Classification

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Yonghao, Giunchiglia, Fausto, Huang, Lan, Li, Ximing, Feng, Xiaoyue, Guan, Renchu
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification
par: Li, Mengyu, et autres
Publié: (2024)

Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning
par: Liu, Yonghao, et autres
Publié: (2025)

Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference
par: Liu, Yonghao, et autres
Publié: (2024)

Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
par: Liu, Yonghao, et autres
Publié: (2025)

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
par: Liu, Yonghao, et autres
Publié: (2024)

Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
par: Liu, Yonghao, et autres
Publié: (2025)

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion
par: Liu, Yonghao, et autres
Publié: (2026)

Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs
par: Guan, Renchu, et autres
Publié: (2025)

Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
par: Liu, Yonghao, et autres
Publié: (2025)

TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning
par: Han, Xiaosong, et autres
Publié: (2026)

Advancing Graph Few-Shot Learning via In-Context Learning
par: Guan, Renchu, et autres
Publié: (2026)

TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification
par: Song, Rui, et autres
Publié: (2023)

Big-Thick Data generation via reference and personal context unification
par: Giunchiglia, Fausto, et autres
Publié: (2024)

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
par: Wang, Bing, et autres
Publié: (2024)

Linguistically Informed Graph Model and Semantic Contrastive Learning for Korean Short Text Classification
par: Yoo, JaeGeon, et autres
Publié: (2026)

Robust Misinformation Detection by Visiting Potential Commonsense Conflict
par: Wang, Bing, et autres
Publié: (2025)

KoRe: Compact Knowledge Representations for Large Language Models
par: Cavicchini, Davide, et autres
Publié: (2026)

Shortcut Learning in In-Context Learning: A Survey
par: Song, Rui, et autres
Publié: (2024)

Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations
par: Wang, Bing, et autres
Publié: (2025)

Understanding Gen Alpha Digital Language: Evaluation of LLM Safety Systems for Content Moderation
par: Mehta, Manisha, et autres
Publié: (2025)

Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks
par: Wen, Ximing
Publié: (2024)

SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning for Text Representation
par: Meng, Tao, et autres
Publié: (2024)

GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification
par: Wen, Ximing, et autres
Publié: (2024)

KAE: A Property-based Method for Knowledge Graph Alignment and Extension
par: Shi, Daqian, et autres
Publié: (2024)

Layers of technology in pluriversal design. Decolonising language technology with the LiveLanguage initiative
par: Koch, Gertraud, et autres
Publié: (2024)

Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval
par: Xu, Hao, et autres
Publié: (2026)

Dynamic Adaptive Attention and Supervised Contrastive Learning: A Novel Hybrid Framework for Text Sentiment Classification
par: Li, Qingyang
Publié: (2026)

Advancing the Arabic WordNet: Elevating Content Quality
par: Freihat, Abed Alhakim, et autres
Publié: (2024)

Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification
par: Ai, Wei, et autres
Publié: (2024)

Crowdsourcing Lexical Diversity
par: Khalilia, Hadi, et autres
Publié: (2024)

Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation
par: Li, Mingzhe, et autres
Publié: (2022)

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer
par: Gao, Jia, et autres
Publié: (2025)

Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning
par: Wang, Jiaan, et autres
Publié: (2024)

HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification
par: Zhu, He, et autres
Publié: (2024)

A Framework for Real-time Safeguarding the Text Generation of Large Language Model
par: Dong, Ximing, et autres
Publié: (2024)

Text Classification Based on Knowledge Graphs and Improved Attention Mechanism
par: Li, Siyu, et autres
Publié: (2024)

Class-Aware Contrastive Optimization for Imbalanced Text Classification
par: Khvatskii, Grigorii, et autres
Publié: (2024)

Emotion Classification in Short English Texts using Deep Learning Techniques
par: Bhat, Siddhanth
Publié: (2024)

CL-ISR: A Contrastive Learning and Implicit Stance Reasoning Framework for Misleading Text Detection on Social Media
par: Huang, Tianyi, et autres
Publié: (2025)

A Novel Graph-Sequence Learning Model for Inductive Text Classification
par: Wang, Zuo, et autres
Publié: (2025)