Metapath- and Entity-aware Graph Neural Network for Recommendation

In graph neural networks (GNNs), message passing iteratively aggregates nodes' information from their direct neighbors while neglecting the sequential nature of multi-hop node connections. Such sequential node connections e.g., metapaths, capture critical insights for downstream tasks... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Link Prediction MovieLens 25M PEAGAT nDCG@10 0.5475 # 1
Hits@10 0.8284 # 1
Link Prediction Yelp PEAGAT HR@10 0.9128 # 1
nDCG@10 0.6641 # 1

Methods used in the Paper


METHOD TYPE
GCN
Graph Models
GAT
Graph Models