Imagen de Portada

Learning on Multimodal Graphs: A Survey

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Peng, Ciyuan, He, Jiayuan, Xia, Feng
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence Graphics Social and Information Networks
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection
por: Zhang, Anran, et al.
Publicado: (2024)

GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection
por: Zhang, Xiong, et al.
Publicado: (2026)

Multimodal Benchmarking and Recommendation of Text-to-Image Generation Models
por: Wanaskar, Kapil, et al.
Publicado: (2025)

A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
por: Jiao, Pengfei, et al.
Publicado: (2025)

A Survey of Data-Efficient Graph Learning
por: Ju, Wei, et al.
Publicado: (2024)

Towards Graph Prompt Learning: A Survey and Beyond
por: Long, Qingqing, et al.
Publicado: (2024)

What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs
por: Fu, Dongqi, et al.
Publicado: (2024)

Attention is all you need for boosting graph convolutional neural network
por: Wu, Yinwei
Publicado: (2024)

A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning
por: Yu, Xingtong, et al.
Publicado: (2024)

A Survey on Learning from Graphs with Heterophily: Recent Advances and Future Directions
por: Gong, Chenghua, et al.
Publicado: (2024)

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

Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
por: Li, Cheng-Te, et al.
Publicado: (2024)

Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning
por: Fan, Xudong, et al.
Publicado: (2025)

OpenGraph: Towards Open Graph Foundation Models
por: Xia, Lianghao, et al.
Publicado: (2024)

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

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

Fairness-Aware Streaming Feature Selection with Causal Graphs
por: Zhang, Leizhen, et al.
Publicado: (2024)

A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
por: Gao, Zhangyang, et al.
Publicado: (2024)

Towards Data-centric Machine Learning on Directed Graphs: a Survey
por: Sun, Henan, et al.
Publicado: (2024)

Toward Effective Multimodal Graph Foundation Model: A Divide-and-Conquer Based Approach
por: Liu, Sicheng, et al.
Publicado: (2026)

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

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
por: Li, Zihao, et al.
Publicado: (2024)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
por: Ju, Wei, et al.
Publicado: (2024)

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

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

Open-Set Graph Anomaly Detection via Normal Structure Regularisation
por: Wang, Qizhou, et al.
Publicado: (2023)

RAGraph: A General Retrieval-Augmented Graph Learning Framework
por: Jiang, Xinke, et al.
Publicado: (2024)

A Comprehensive Data-centric Overview of Federated Graph Learning
por: Wu, Zhengyu, et al.
Publicado: (2025)

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

Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes
por: Wu, Qi, et al.
Publicado: (2025)

Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
por: Wang, Zehong, et al.
Publicado: (2024)

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

Graph Fairness Learning under Distribution Shifts
por: Li, Yibo, et al.
Publicado: (2024)

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

Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
por: Lu, Qincheng, et al.
Publicado: (2024)

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

Influence Maximization via Graph Neural Bandits
por: Feng, Yuting, et al.
Publicado: (2024)

GSpect: Spectral Filtering for Cross-Scale Graph Classification
por: Zhang, Xiaoyu, et al.
Publicado: (2024)

Partitioning Message Passing for Graph Fraud Detection
por: Zhuo, Wei, et al.
Publicado: (2024)

Momentum-Conserving Graph Neural Networks for Deformable Objects
por: Wang, Jiahong, et al.
Publicado: (2026)