A new interference modeling approach with partial attentions and message amplification captures varying neighbor importance and scale to improve ITE estimation on graphs.
InProceedings of the 27th ACM International Conference on Information and Knowledge Management
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Treatment Effect Estimation with Differentiated Networked Effect on Graph Data
A new interference modeling approach with partial attentions and message amplification captures varying neighbor importance and scale to improve ITE estimation on graphs.