WaveGNN: Integrating Graph Neural Networks and Transformers for Decay-Aware Classification of Irregular Clinical Time-Series
Fuente:
arXiv
Saved in:
| Main Authors: | Hajisafi, Arash, Siampou, Maria Despoina, Azarijoo, Bita, Xiong, Zhen, Shahabi, Cyrus |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Small Graph Is All You Need: DeepStateGNN for Scalable Traffic Forecasting
by: Wölker, Yannick, et al.
Published: (2025)
by: Wölker, Yannick, et al.
Published: (2025)
Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data
by: Hajisafi, Arash, et al.
Published: (2024)
by: Hajisafi, Arash, et al.
Published: (2024)
TrajRoute: Rethinking Routing with a Simple Trajectory-Based Approach -- Forget the Maps and Traffic!
by: Siampou, Maria Despoina, et al.
Published: (2024)
by: Siampou, Maria Despoina, et al.
Published: (2024)
Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications
by: Siampou, Maria Despoina, et al.
Published: (2024)
by: Siampou, Maria Despoina, et al.
Published: (2024)
Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement
by: Siampou, Maria Despoina, et al.
Published: (2026)
by: Siampou, Maria Despoina, et al.
Published: (2026)
TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations
by: Siampou, Maria Despoina, et al.
Published: (2026)
by: Siampou, Maria Despoina, et al.
Published: (2026)
Geo2Vec: Shape- and Distance-Aware Neural Representation of Geospatial Entities
by: Chu, Chen, et al.
Published: (2025)
by: Chu, Chen, et al.
Published: (2025)
DBGL: Decay-aware Bipartite Graph Learning for Irregular Medical Time Series Classification
by: Chen, Jian, et al.
Published: (2026)
by: Chen, Jian, et al.
Published: (2026)
BiasBuster: a Neural Approach for Accurate Estimation of Population Statistics using Biased Location Data
by: Zeighami, Sepanta, et al.
Published: (2024)
by: Zeighami, Sepanta, et al.
Published: (2024)
Differentially Private Publication of Electricity Time Series Data in Smart Grids
by: Shaham, Sina, et al.
Published: (2024)
by: Shaham, Sina, et al.
Published: (2024)
One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification
by: Gao, Mengzhou, et al.
Published: (2026)
by: Gao, Mengzhou, et al.
Published: (2026)
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
by: Li, Boyuan, et al.
Published: (2025)
by: Li, Boyuan, et al.
Published: (2025)
Towards Establishing Guaranteed Error for Learned Database Operations
by: Zeighami, Sepanta, et al.
Published: (2024)
by: Zeighami, Sepanta, et al.
Published: (2024)
AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification
by: Lin, Xixun, et al.
Published: (2026)
by: Lin, Xixun, et al.
Published: (2026)
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
by: Zhang, Weijia, et al.
Published: (2023)
by: Zhang, Weijia, et al.
Published: (2023)
MTM: A Multi-Scale Token Mixing Transformer for Irregular Multivariate Time Series Classification
by: Zhong, Shuhan, et al.
Published: (2025)
by: Zhong, Shuhan, et al.
Published: (2025)
ReTAMamba: Reliability-Aware Temporal Aggregation with Mamba for Irregular Clinical Time Series Prediction
by: Kim, Jinwoong, et al.
Published: (2026)
by: Kim, Jinwoong, et al.
Published: (2026)
Temporal Graph ODEs for Irregularly-Sampled Time Series
by: Gravina, Alessio, et al.
Published: (2024)
by: Gravina, Alessio, et al.
Published: (2024)
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
by: Mercatali, Giangiacomo, et al.
Published: (2024)
by: Mercatali, Giangiacomo, et al.
Published: (2024)
Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series Classification
by: Yang, Wennuo, et al.
Published: (2025)
by: Yang, Wennuo, et al.
Published: (2025)
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
by: Fan, Wei, et al.
Published: (2025)
by: Fan, Wei, et al.
Published: (2025)
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
by: Chen, Yuqi, et al.
Published: (2024)
by: Chen, Yuqi, et al.
Published: (2024)
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids
by: Suri, Dhruv, et al.
Published: (2025)
by: Suri, Dhruv, et al.
Published: (2025)
RAG-GNN: Integrating Retrieved Knowledge with Graph Neural Networks for Precision Medicine
by: Hays, Hasi, et al.
Published: (2026)
by: Hays, Hasi, et al.
Published: (2026)
RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception
by: Fent, Felix, et al.
Published: (2023)
by: Fent, Felix, et al.
Published: (2023)
PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks
by: Spinnato, Francesco, et al.
Published: (2025)
by: Spinnato, Francesco, et al.
Published: (2025)
Graph-Aware Contrasting for Multivariate Time-Series Classification
by: Wang, Yucheng, et al.
Published: (2023)
by: Wang, Yucheng, et al.
Published: (2023)
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
by: Akansha, S.
Published: (2024)
by: Akansha, S.
Published: (2024)
LiGNN: Graph Neural Networks at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)
by: Borisyuk, Fedor, et al.
Published: (2024)
Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors
by: Li, Ziyao, et al.
Published: (2024)
by: Li, Ziyao, et al.
Published: (2024)
MedFuse: Multiplicative Embedding Fusion For Irregular Clinical Time Series
by: Hsieh, Yi-Hsien, et al.
Published: (2025)
by: Hsieh, Yi-Hsien, et al.
Published: (2025)
TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning
by: Sajjadi, Arash, et al.
Published: (2025)
by: Sajjadi, Arash, et al.
Published: (2025)
OSMGen: Highly Controllable Satellite Image Synthesis using OpenStreetMap Data
by: Ziashahabi, Amir, et al.
Published: (2025)
by: Ziashahabi, Amir, et al.
Published: (2025)
A Hybrid Similarity-Aware Graph Neural Network with Transformer for Node Classification
by: Singh, Aman, et al.
Published: (2025)
by: Singh, Aman, et al.
Published: (2025)
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems
by: Zhang, Peiyan, et al.
Published: (2023)
by: Zhang, Peiyan, et al.
Published: (2023)
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation
by: Jing, Baoyu, et al.
Published: (2024)
by: Jing, Baoyu, et al.
Published: (2024)
Rethinking Large Language Models For Irregular Time Series Classification In Critical Care
by: Zheng, Feixiang, et al.
Published: (2026)
by: Zheng, Feixiang, et al.
Published: (2026)
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network
by: Zhu, Yushan, et al.
Published: (2024)
by: Zhu, Yushan, et al.
Published: (2024)
TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model
by: Hsu, Shang-Ling, et al.
Published: (2024)
by: Hsu, Shang-Ling, et al.
Published: (2024)
Similar Items
-
Small Graph Is All You Need: DeepStateGNN for Scalable Traffic Forecasting
by: Wölker, Yannick, et al.
Published: (2025) -
Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data
by: Hajisafi, Arash, et al.
Published: (2024) -
TrajRoute: Rethinking Routing with a Simple Trajectory-Based Approach -- Forget the Maps and Traffic!
by: Siampou, Maria Despoina, et al.
Published: (2024) -
Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications
by: Siampou, Maria Despoina, et al.
Published: (2024) -
Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement
by: Siampou, Maria Despoina, et al.
Published: (2026)