Abstract: Graphs in the real world keep evolving with the integration of new nodes, and it is often infeasible to manually label all the new nodes promptly. In this case, graph learning algorithms can ...
Abstract: Recommender systems aim to accurately predict user preferences in order to provide potential items of interests. However, the highly skewed long-tail item distribution leads the models to ...
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