Shypd.aiThe largest open index of AI toolsGNNPapers is an open-source research and education tool that curates must-read papers on graph neural networks (GNN). It provides an organized list of key publications for researchers and students.
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GNNPapers is a comprehensive, open-source repository dedicated to curating essential papers on graph neural networks (GNNs). It serves as an invaluable resource for researchers, academics, and students seeking to explore the latest advancements and foundational works in the field. The collection is meticulously organized by topic, covering various aspects such as GNN models (basic, graph types, pooling methods), analysis, efficiency, and explainability. Additionally, it categorizes papers by diverse applications, including physics, chemistry, biology, knowledge graphs, recommender systems, computer vision, natural language processing, and more. This structured approach allows users to efficiently navigate and discover relevant literature, making it an indispensable tool for staying current with GNN research.
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