
Cyclic Label Propagation for Graph Semisupervised Learning
Graph neural networks (GNNs) have emerged as effective approaches for gr...
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Deep Reinforcement Learning of Transition States
Combining reinforcement learning (RL) and molecular dynamics (MD) simula...
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CLMAPF: MultiAgent Path Finding for CarLike Robots with Kinematic and Spatiotemporal Constraints
MultiAgent Path Finding has been widely studied in the past few years d...
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Brain Tumor Segmentation Network Using Attentionbased Fusion and Spatial Relationship Constraint
Delineating the brain tumor from magnetic resonance (MR) images is criti...
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MultiModality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images
Multisequence of cardiac magnetic resonance (CMR) images can provide co...
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Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence
Distributed linguistic representations are powerful tools for modelling ...
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Is Network the Bottleneck of Distributed Training?
Recently there has been a surge of research on improving the communicati...
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MIM: A deep mixed residual method for solving highorder partial differential equations
In recent years, a significant amount of attention has been paid to solv...
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A Perspective on Deep Learning for Molecular Modeling and Simulations
Deep learning is transforming many areas in science, and it has great po...
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FewShot Graph Classification with Model Agnostic MetaLearning
Graph classification aims to perform accurate information extraction and...
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Multiplicative Gaussian Particle Filter
We propose a new samplingbased approach for approximate inference in fi...
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KerGM: Kernelized Graph Matching
Graph matching plays a central role in such fields as computer vision, p...
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Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
Graph kernels are widely used for measuring the similarity between graph...
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Visual Relationship Detection with Low Rank NonNegative Tensor Decomposition
We address the problem of Visual Relationship Detection (VRD) which aims...
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Hierarchical Graph Pooling with Structure Learning
Graph Neural Networks (GNNs), which generalize deep neural networks to g...
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Learning Clustered Representation for Complex Free Energy Landscapes
In this paper we first analyzed the inductive bias underlying the data s...
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Factor Graph Neural Network
Most of the successful deep neural network architectures are structured,...
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STAMINA: STochastic Approximate Modelchecker for INfinitestate Analysis
Stochastic model checking is a technique for analyzing systems that poss...
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RetGK: Graph Kernels based on Return Probabilities of Random Walks
Graphstructured data arise in wide applications, such as computer visio...
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Convolutional Sequence to Sequence Model for Human Dynamics
Human motion modeling is a classic problem in computer vision and graphi...
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OmicsMapNet: Transforming omics data to take advantage of Deep Convolutional Neural Network for discovery
We developed OmicsMapNet approach to take advantage of existing deep lea...
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Learning an Optimizer for Image Deconvolution
As an integral component of blind image deblurring, nonblind deconvolut...
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Managing MultiGranular Linguistic Distribution Assessments in LargeScale MultiAttribute Group Decision Making
Linguistic largescale group decision making (LGDM) problems are more an...
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Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations
LP relaxationbased message passing algorithms provide an effective tool...
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Zhen Zhang
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