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Match outcome prediction in group comparison setting is a challenging but important task. Existing works mainly focus on learning individual effects or mining limited interactions between teammates, which is not sufficient for capturing complex interactions between teammates as well as between opponents. Besides, the importance of interacting with different characters is still largely underexplored. To this end, we propose a novel Neural Attentional Cooperation-competition model (NeuralAC), which incorporates weighted-cooperation effects (i.e., intra-team interactions) and weighted-competition effects (i.e., inter-team interactions) for predicting match outcomes. Specifically, we first project individuals to latent vectors and learn complex interactions through deep neural networks. Then, we design two novel attention-based mechanisms to capture the importance of intra-team and inter-team interactions, which enhance NeuralAC with both accuracy and interpretability. Furthermore, we demonstrate NeuralAC can generalize several previous works. To evaluate the performances of NeuralAC, we conduct extensive experiments on four E-sports datasets. The experimental results clearly verify the effectiveness of NeuralAC compared with several state-of-the-art methods.

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It is common knowledge that 500kV extra high voltage and long distant transmission line join a shunt reactor and a neutral grounding via small reactor; This paper analysis systematically an possible condition of the frequency-regulating resonance over-voltage on single phase cut fault to refusing-shut of the 500kV exra high voltage transmission line which join a shunt reactor, the system compose an complex series resonance circuits, and present a rational mode of reactive compensation. This paper also build rational mathematic mode on systemic parameter of 500kV ci-yong transmission line, and resolute detailedly its power frequency component , low frequency component and its DC component of single phase cut fault voltage and secondary arc current by the mean of Laplacian transformation ruling formula. All the this is to offer an farther analysis on switching over-voltage and secondary arc current interrupter of long distant transmission line. In the end, this system also implemented using MATLAB software, compute the transient process on single phase cut fault voltage and secondary arc current.

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