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Fresh picks from ArXiv This week on ArXiv: 2 surveys on self-supervised graph learning, fair embeddings, and combined structural and positional node embeddings 🎭 If I forgot to mention your paper, please shoot me a message and I will update the post. Survey * Graph Self-Supervised Learning: A Survey with Philip S. Yu * Graph-based Semi-supervised Learning: A Comprehensive Review * Meta-Learning with Graph Neural Networks: Methods and Applications * Benchmarking Graph Neural Networks on Link Prediction * A Survey of RDF Stores & SPARQL Engines for Querying Knowledge Graphs Embeddings * Towards a Unified Framework for Fair and Stable Graph Representation Learning with Marinka Zitnik * Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding with Danai Koutra