Image de couverture de livre

DyGCL: Dynamic Graph Contrastive Learning For Event Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Islam, Muhammed Ifte Khairul, Saifuddin, Khaled Mohammed, Hossain, Tanvir, Akbas, Esra
Format:	Preprint
Publié:	2024
Sujets:	Social and Information Networks
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach
par: Hossain, Tanvir, et autres
Publié: (2024)

HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views
par: Saifuddin, Khaled Mohammed, et autres
Publié: (2025)

Cross-attentive Cohesive Subgraph Embedding to Mitigate Oversquashing in GNNs
par: Hossain, Tanvir, et autres
Publié: (2026)

CueGCL: Cluster-aware Personalized Self-Training for Unsupervised Graph Contrastive Learning
par: Li, Yuecheng, et autres
Publié: (2023)

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning
par: Yang, Haoran, et autres
Publié: (2024)

DyG2Vec: Efficient Representation Learning for Dynamic Graphs
par: Alomrani, Mohammad Ali, et autres
Publié: (2022)

Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation
par: Saifuddin, Khaled Mohammed, et autres
Publié: (2023)

DyGSSM: Multi-view Dynamic Graph Embeddings with State Space Model Gradient Update
par: Pijan, Bizhan Alipour, et autres
Publié: (2025)

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations
par: Guo, Linxin, et autres
Publié: (2024)

Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning
par: Gayen, Jayadratha, et autres
Publié: (2025)

Community-Invariant Graph Contrastive Learning
par: Tan, Shiyin, et autres
Publié: (2024)

Telegram as a Battlefield: Kremlin-related Communications during the Russia-Ukraine Conflict
par: Bawa, Apaar, et autres
Publié: (2025)

Contrastive Cascade Graph Learning for Classifying Real and Synthetic Information Diffusion Patterns
par: Shibao, Naoki, et autres
Publié: (2025)

Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering
par: Peng, Liang, et autres
Publié: (2025)

Robust Graph Contrastive Learning with Information Restoration
par: Zhu, Yulin, et autres
Publié: (2023)

Homophily-aware Heterogeneous Graph Contrastive Learning
par: Wang, Haosen, et autres
Publié: (2025)

DyGnROLE: Modeling Asymmetry in Dynamic Graphs with Node-Role-Oriented Latent Encoding
par: Bonnet, Tyler, et autres
Publié: (2026)

CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection
par: Chen, Sirry, et autres
Publié: (2024)

Graph Contrastive Invariant Learning from the Causal Perspective
par: Mo, Yanhu, et autres
Publié: (2024)

EVOLVE: Predicting User Evolution and Network Dynamics in Social Media Using Fine-Tuned GPT-like Model
par: Hossain, Ismail, et autres
Publié: (2024)

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

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning
par: Wang, Ling
Publié: (2025)

Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
par: Niu, Chaoxi, et autres
Publié: (2023)

Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
par: Jiang, Ruobing, et autres
Publié: (2025)

GCLS$^2$: Towards Efficient Community Detection Using Graph Contrastive Learning with Structure Semantics
par: Wen, Qi, et autres
Publié: (2024)

Contrastive Learning for Implicit Social Factors in Social Media Popularity Prediction
par: Zhang, Zhizhen, et autres
Publié: (2024)

Comprehensive Privacy Risk Assessment in Social Networks Using User Attributes Social Graphs and Text Analysis
par: Alam, Md Jahangir, et autres
Publié: (2025)

Temporal Link Prediction Using Graph Embedding Dynamics
par: Fard, Sanaz Hasanzadeh, et autres
Publié: (2024)

Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
par: Heeg, Franziska, et autres
Publié: (2023)

HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection
par: Fu, Yali, et autres
Publié: (2024)

Leveraging Contrastive Learning for Few-shot Geolocation of Social Posts
par: Li, Menglin, et autres
Publié: (2024)

Link Prediction on Textual Edge Graphs
par: Ling, Chen, et autres
Publié: (2024)

High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs
par: Zhang, Peiyan, et autres
Publié: (2024)

Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
par: Wang, Yancheng, et autres
Publié: (2024)

Towards Real-World Rumor Detection: Anomaly Detection Framework with Graph Supervised Contrastive Learning
par: Cui, Chaoqun, et autres
Publié: (2025)

Learning To Sample the Meta-Paths for Social Event Detection
par: Ma, Congbo, et autres
Publié: (2024)

Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph
par: Zhou, Wang-Tao, et autres
Publié: (2025)

Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding
par: Park, Jongmin, et autres
Publié: (2025)

Contrastive Learning Augmented Social Recommendations
par: Wang, Lin, et autres
Publié: (2025)

CGLE: Class-label Graph Link Estimator for Link Prediction
par: Mazumder, Ankit, et autres
Publié: (2025)