iMIRACLE: An Iterative Multi-View Graph Neural Network to Model Intercellular Gene Regulation From Spatial Transcriptomic Data.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease.
PLoS Comput. Biol., 2023
Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data.
PLoS Comput. Biol., October, 2022
MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting.
Pattern Recognit. Lett., 2022
Multivariate time-series classification with hierarchical variational graph pooling.
Neural Networks, 2022
Connecting latent relationships over heterogeneous attributed network for recommendation.
Appl. Intell., 2022
Geometry-aware Two-scale PIFu Representation for Human Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation.
Neurocomputing, 2021
Total Scale: Face-to-Body Detail Reconstruction from Sparse RGBD Sensors.
CoRR, 2021
Connecting Latent ReLationships over Heterogeneous Attributed Network for Recommendation.
CoRR, 2021
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling.
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CoRR, 2020
Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks.
CoRR, 2020
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting.
CoRR, 2020
Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography.
CoRR, 2020
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation.
CoRR, 2020
Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning.
CoRR, 2020
Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network.
CoRR, 2020
Heterogeneous Attributed Network Embedding with Graph Convolutional Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019