August 28, 2020 Block Model Guided Unsupervised Feature Selection How to effectively select features by utilizing SBM. #Datamining #GNN #Machine Learning
July 2, 2020 Fourier and Wavelet transform in GCN Understanding Fourier and Wavelet transforms in GCN #GNN #Mathematics #Signal Processing
June 1, 2020 MolGAN - An implicit generative model for small molecular graphs Application of graph neural net to generate molecular graphs. #GNN
June 1, 2020 Dynamic Graph CNN for Learning on Point Clouds Introduce EdgeConv which acts on graphs dynamically computed in each layer of the network. #GNN #Vision
June 1, 2020 The Ways of Node Embedding - Node2vec, DeepWalk Graph node representation methods #GNN #Node embedding
May 25, 2020 Semi-supervised Learning with Graph Learning-Convolutional Networks Thomas kipf's Graph Convolution Network using 1st order approximation of Cebyshev polynomial. #GNN
