loserChen/Awesome-Graph
Collection of papers about graph
This collection helps researchers and practitioners explore cutting-edge academic papers on graph neural networks. It provides a curated list of research, from foundational concepts to specialized applications in various domains. The primary users are researchers, PhD students, and data scientists looking to understand and apply graph-based machine learning techniques.
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Use this if you need to research the latest advancements and foundational theories in graph neural networks for your academic or practical work.
Not ideal if you are looking for ready-to-use code implementations or software libraries for specific graph-related tasks.
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Jan 12, 2021
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