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20212024
most citedNeighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation

2 citations · 4 across the 9 of their papers we have counts for

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cs.IR2024

Graph Neural Patching for Cold-Start Recommendations

Hao Chen, Yu Yang, Yuanchen Bei +3

The cold start problem in recommender systems remains a critical challenge. Current solutions often train hybrid models on auxiliary data for both cold and warm users/items, potent…

cs.IR2024★ 1 cited

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems

Hao Chen, Yuanchen Bei, Qijie Shen +6

Predicting Click-Through Rate (CTR) in billion-scale recommender systems poses a long-standing challenge for Graph Neural Networks (GNNs) due to the overwhelming computational comp…