Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

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Graph Neural Networks and Their Current Applications in Bioinformatics (2021, methodology): “…of chemical molecules (Duvenaud et al., 2015), extracting text relationship (Peng et al., 2017), reasoning the structure of graphics and images (Wang et al., 2018), link prediction and node clustering of social networks (Zhang and Chen, 2018), network completion of missing information…”
Correlation Hashing Network for Efficient Cross-Modal Retrieval (2016, background): “However, our method shares the same problem setting with DCMH that only requires similarity labels across images and texts, while DVSH further requires bimodal image-text pairs to learn modalshared representation.”
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach (2020, unknown): “For the training phase, the generated features are then fed into machine learning classifiers such as Decision Tree (DT) [28] , Random Forest (RF) [29] , XGBoost [30] , AdaBoost [31] , Bagging classifier [32] and LightGBM [33] .”
User Profile Preserving Social Network Embedding (2017, background): “Very recently, SDNE [Wang et al., 2016] is proposed to learn non-linear network representations by applying deep autoencoder model on node adjacent matrix and exploiting the first-order proximity as supervised information.”