Cover Image

Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wan, Guancheng, Liu, Zewen, Lau, Max S. Y., Prakash, B. Aditya, Jin, Wei
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Review of Graph Neural Networks in Epidemic Modeling
by: Liu, Zewen, et al.
Published: (2024)

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
by: Hashemi, Mohammad, et al.
Published: (2024)

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

Multi-perspective Feedback-attention Coupling Model for Continuous-time Dynamic Graphs
by: Zhu, Xiaobo, et al.
Published: (2023)

Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation
by: Park, Jin-Duk, et al.
Published: (2025)

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

LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
by: Liu, Ping, et al.
Published: (2024)

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

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
by: Xie, Beini, et al.
Published: (2024)

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

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

GASTON: Graph-Aware Social Transformer for Online Networks
by: Wloch, Olha, et al.
Published: (2026)

Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
by: Li, Xiping, et al.
Published: (2025)

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

Federated Continual Graph Learning
by: Zhu, Yinlin, et al.
Published: (2024)

Strong Transitivity Relations and Graph Neural Networks
by: Mohamadi, Yassin, et al.
Published: (2024)

Demystifying Higher-Order Graph Neural Networks
by: Besta, Maciej, et al.
Published: (2024)

Heterogeneous Temporal Hypergraph Neural Network
by: Liu, Huan, et al.
Published: (2025)

Higher-order Interaction Matters: Dynamic Hypergraph Neural Networks for Epidemic Modeling
by: Liu, Songyuan, et al.
Published: (2025)

Beyond Message Passing: Neural Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)

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

Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
by: von Pichowski, Jan, et al.
Published: (2024)

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

FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
by: Liu, Jiaxin, et al.
Published: (2025)

LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs
by: Li, Siqing, et al.
Published: (2024)

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum
by: Xu, Fan, et al.
Published: (2023)

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

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

On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks
by: Guettala, Walid, et al.
Published: (2024)

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

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

Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
by: Guidotti, Sabrina, et al.
Published: (2024)

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

Graph-based Diffusion Model for Collaborative Filtering
by: Zhang, Xuan, et al.
Published: (2025)

Simple Graph Condensation
by: Xiao, Zhenbang, et al.
Published: (2024)

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

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

Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation
by: Park, Jin-Duk, et al.
Published: (2024)

Hypergraph-enhanced Dual Semi-supervised Graph Classification
by: Ju, Wei, et al.
Published: (2024)

Cluster-guided Contrastive Class-imbalanced Graph Classification
by: Ju, Wei, et al.
Published: (2024)