Imagen de Portada

Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhou, Wang-Tao, Kang, Zhao, Liu, Sicong, Zhang, Lizong, Tian, Ling
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Social and Information Networks
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
por: Ju, Wei, et al.
Publicado: (2024)

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment
por: Liu, Meng, et al.
Publicado: (2023)

When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning
por: Shen, Zhixiang, et al.
Publicado: (2024)

LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting
por: Luo, Qinyao, et al.
Publicado: (2024)

Balanced Multi-Relational Graph Clustering
por: Shen, Zhixiang, et al.
Publicado: (2024)

Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
por: Kim, Junghun, et al.
Publicado: (2024)

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning
por: Srinivasan, Srinitish, et al.
Publicado: (2025)

Graph Data Condensation via Self-expressive Graph Structure Reconstruction
por: Liu, Zhanyu, et al.
Publicado: (2024)

Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
por: Shen, Zhixiang, et al.
Publicado: (2024)

CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph
por: He, Silu, et al.
Publicado: (2023)

GMoPE:A Prompt-Expert Mixture Framework for Graph Foundation Models
por: Wang, Zhibin, et al.
Publicado: (2025)

Prompt Learning on Temporal Interaction Graphs
por: Chen, Xi, et al.
Publicado: (2024)

Disentangling Homophily and Heterophily in Multimodal Graph Clustering
por: Guo, Zhaochen, et al.
Publicado: (2025)

Efficient Neural Common Neighbor for Temporal Graph Link Prediction
por: Zhang, Xiaohui, et al.
Publicado: (2024)

Structure-Centric Graph Foundation Model via Geometric Bases
por: He, Xiaodong, et al.
Publicado: (2026)

Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
por: Wang, Shuo, et al.
Publicado: (2025)

HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
por: Liu, Yanbei, et al.
Publicado: (2025)

Bi-Level Graph Structure Learning for Next POI Recommendation
por: Wang, Liang, et al.
Publicado: (2024)

RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
por: Li, Yushen, et al.
Publicado: (2024)

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
por: Xiang, Sheng, et al.
Publicado: (2024)

Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN
por: Zhou, Zhilun, et al.
Publicado: (2024)

CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events
por: Yang, Xiaojie, et al.
Publicado: (2024)

GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
por: Lv, Rui, et al.
Publicado: (2025)

INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
por: Tiukhova, Elena, et al.
Publicado: (2023)

Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies
por: Alisetti, Sai Vamsi, et al.
Publicado: (2025)

BeMap: Balanced Message Passing for Fair Graph Neural Network
por: Lin, Xiao, et al.
Publicado: (2023)

Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
por: Zhao, Chu, et al.
Publicado: (2024)

Repeat-Aware Neighbor Sampling for Dynamic Graph Learning
por: Zou, Tao, et al.
Publicado: (2024)

A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction
por: Sajadi, Nafiseh Sadat, et al.
Publicado: (2026)

Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling
por: Zhang, Siwei, et al.
Publicado: (2024)

Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation
por: Zhang, Jinyu, et al.
Publicado: (2024)

Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering
por: Jung, Hoin, et al.
Publicado: (2024)

Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
por: Zhang, Tianyu, et al.
Publicado: (2024)

CueGCL: Cluster-aware Personalized Self-Training for Unsupervised Graph Contrastive Learning
por: Li, Yuecheng, et al.
Publicado: (2023)

Towards Fair Graph Representation Learning in Social Networks
por: Zhang, Guixian, et al.
Publicado: (2024)

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
por: Zhou, Zhanke, et al.
Publicado: (2024)

HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
por: Zhang, Shuaicheng, et al.
Publicado: (2025)

Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
por: Zhao, Huanjing, et al.
Publicado: (2024)

PageRank Bandits for Link Prediction
por: Ban, Yikun, et al.
Publicado: (2024)

Graph Foundation Models: A Comprehensive Survey
por: Wang, Zehong, et al.
Publicado: (2025)