DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Seriesby…
Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Predictionby Fatemeh Nassajian Mojarrad,…
Graph Coarsening with Message-Passing Guaranteesby Antonin Joly, Nicolas KerivenFirst submitted to arxiv on: 28 May…
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networksby Wanlin Cai, Kun Wang, Hao…
Rethinking Pruning for Backdoor Mitigation: An Optimization Perspectiveby Nan Li, Haiyang Yu, Ping YiFirst submitted…
Investigation of Customized Medical Decision Algorithms Utilizing Graph Neural Networksby Yafeng Yan, Shuyao He, Zhou…
Spectral Greedy Coresets for Graph Neural Networksby Mucong Ding, Yinhan He, Jundong Li, Furong HuangFirst…
Survey of Graph Neural Network for Internet of Things and NextG Networksby Sabarish Krishna Moorthy,…
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learningby Yuankai Luo, Hongkang Li, Qijiong Liu,…
Causal-aware Graph Neural Architecture Search under Distribution Shiftsby Peiwen Li, Xin Wang, Zeyang Zhang, Yijian…