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17th International Workshop on Mining and Learning with Graphs (MLG)

Shobeir Fakhraei, Tim Weninger, Neil Shah, Sami Abu-El-Haija, Saurabh Verma, Tara Safavi
2022 Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining  

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The 17th International Workshop on Mining and Learning with Graphs (MLG) is held in Washington DC, USA on August 15, 2022 and is co-located with the Eighth International Workshop on Deep Learning on Graphs (DLG) as part of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. This workshop is a forum for exchanging ideas and methods for mining and learning with graphs, developing new common understandings of the problems at hand, sharing of data sets where applicable, and
more » ... ging existing knowledge from different disciplines. In doing so, we aim to better understand the overarching principles and the limitations of our current methods, and to inspire research on new algorithms and techniques for mining and learning with graphs. Topics of interest include, but are not limited to, graph mining, statistical relational learning, social network analysis, and network science. The target audience spans researchers and practitioners across academia, government, and industry.
doi:10.1145/3534678.3542913 fatcat:paxbisxttrecdhrpgan2i7lcze
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Shobeir Fakhraei, Tim Weninger, Neil Shah, Sami Abu-El-Haija, Saurabh Verma, Tara Safavi. "17th International Workshop on Mining and Learning with Graphs (MLG)." Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022)