Shypd.aiThe largest open index of AI toolsAwesome-DynamicGraphLearning is an open-source resource that curates papers and code related to machine learning on dynamic graphs. It helps researchers and practitioners discover advancements in the field.
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Awesome-DynamicGraphLearning is a comprehensive, open-source GitHub repository dedicated to collecting and organizing significant research papers and their associated code in the field of machine learning, specifically deep learning, applied to dynamic (temporal) graphs, networks, and knowledge graphs. The repository covers a wide range of topics, including surveys, theoretical advancements, and applications such as recommender systems. It features papers from top conferences and journals like ICML, SIGKDD, ICLR, NeurIPS, WWW, and VLDB, spanning from 2012 to 2025. This curated list serves as an invaluable resource for researchers, academics, and students looking to stay updated on the latest developments and find relevant implementations in dynamic graph learning.
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