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Post #501

@graphml

Graph Machine Learning

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Publié4 mai04/05/2021 08:12
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Fresh picks from ArXiv This week on ArXiv: knowledge graph in production at Alibaba, links between WL and GNN, and more robust classifier with energy-based view 🔋 If I forgot to mention your paper, please shoot me a message and I will update the post. Applications *Billion-scale Pre-trained E-commerce Product Knowledge Graph Model ICDE 2021 * Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph ICDE 2021 * Fast Multiscale Diffusion on Graphs * An Energy-Based View of Graph Neural Networks * Structure-Aware Hierarchical Graph Pooling using Information Bottleneck * Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation * Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network Survey * The Logic of Graph Neural Networks with Martin Grohe * Graph Vulnerability and Robustness: A Survey * Graph Learning: A Survey * Graph Neural Networks for Traffic Forecasting