Post #204

Fresh picks from ArXiv This week highlights clustering with GNN, scalable GNN, recommendation with graphs, and surveys on mathematical perspective of ML 💭 GNN • Graph Clustering with Graph Neural Networks with Anton Tsitsulin and Bryan Perozzi • Scaling Graph Neural Networks with Approximate PageRank with Bryan Perozzi, Stephan Günnemann, KDD 2020 • Simple and Deep Graph Convolutional Networks • AM-GCN: Adaptive Multi-channel Graph Convolutional Networks KDD 2020 • Adaptive Graph Encoder for Attributed Graph Embedding KDD 2020 • A Novel Higher-order Weisfeiler-Lehman Graph Convolution • Hierarchical Graph Matching Network for Graph Similarity Computation Applications • Disentangled Graph Collaborative Filtering SIGIR 2020 • Scene Graph Reasoning for Visual Question Answering with Stephan Günnemann • An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph with Alexander J. Smola, KDD 2020 • Interactive Path Reasoning on Graph for Conversational Recommendation KDD 2020 • New Hardness Results for Planar Graph Problems in P and an Algorithm for Sparsest Cut Survey Mathematical Perspective of Machine Learning Model-based Reinforcement Learning: A Survey Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey