Adaptive graph contrastive learning with joint optimization of data augmentation and graph encoder

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Auto-GNAS: A Parallel Graph Neural Architecture Search Framework

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Aspect sentiment analysis with heterogeneous graph neural networks

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Self-supervised role learning for graph neural networks

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Fairness in graph-based semi-supervised learning

(2022) Tao Zhang et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Semi-Supervised Classification of Graph Convolutional Networks with Laplacian Rank Constraints

(2021) Haiqi Zhang et al.   NEURAL PROCESSING LETTERS

Learning Representation From Concurrence-Words Graph For Aspect Sentiment Classification

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Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis

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Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism

(2021) Jing Li et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Large-scale comparison of machine learning methods for drug target prediction on ChEMBL

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ChEMBL: a large-scale bioactivity database for drug discovery

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