ZhenyuYangMQ/Awesome-Graph-Level-Learning
Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph representation learning, graph regression and graph classification to join this project as contribut…
This is a curated collection of research papers, code implementations, datasets, and tools focused on graph-level learning. It helps researchers and machine learning practitioners explore various methods for analyzing and comparing entire graphs, rather than individual nodes or edges. You can find resources to build models that take graph data as input and produce classifications, regressions, or embeddings for the whole graph.
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Use this if you are a researcher or practitioner in machine learning or data science who needs to understand, implement, or find datasets for graph-level learning tasks.
Not ideal if you are looking for an out-of-the-box software solution for a specific business problem that involves graph data, rather than research resources.
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Sep 23, 2024
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