azminewasi/Awesome-Graph-Research-ICLR2024
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
This is a curated collection of research papers on graph machine learning presented at ICLR 2024, organized by subtopics like Heterophily, Graph Transformer, and Equivariant GNNs. It provides researchers and academics with a categorized overview of the latest advancements, allowing them to quickly find relevant papers based on their specific research interests within graph-based machine learning.
101 stars. No commits in the last 6 months.
Use this if you are a researcher, academic, or PhD student in machine learning looking for a comprehensive and categorized overview of cutting-edge graph-related research from ICLR 2024.
Not ideal if you are looking for ready-to-use code, tutorials for implementing graph algorithms, or a high-level introduction to graph machine learning concepts.
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Nov 16, 2024
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