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Causal Structure Learning from Event Sequences and Prior Knowledge

Zhang Keli · Ruichu Cai · Kun Kuang · Lujia Pan · Ye Jian · Jiale Zheng · Mengyue Yang · Marcus Kalander · Dai Quanyu · Liu Yuequn



In this competition, we are focusing on a fundamental causal challenge: participantsare asked to learn the causal alarm graphs in which every node is an alarm typefrom observable historical alarm data together with limited prior knowledge. Thechallenge originates from a real-world root cause analysis (RCA) scenario intelecommunication networks. By addressing this challenge, participants will notonly help operators trouble-shooting efficiently, but also advance the field of causaldiscovery, and contribute to our understanding of complex systems.

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