Item Recommendation on Gowalla (test)
93.3HR@5BRIDGE-GCN
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| BRIDGE-GCNLearning Mode=BRIDGE2025.10 | 93.3 | — | — | — | — | — | — | — | 87.9 | |
| BRIDGE-GATLearning Mode=BRIDGE2025.10 | 92.2 | — | — | — | — | — | — | — | 83.4 | |
| BRIDGE-TFConvLearning Mode=BRIDGE2025.10 | 92.1 | — | — | — | — | — | — | — | 82.9 | |
| TFConv + SLearning Mode=Two-Stage (Static + Sequence)2025.10 | 92 | — | — | — | — | — | — | — | 82.5 | |
| TFConvLearning Mode=Graph Only (Static)2025.10 | 90.9 | — | — | — | — | — | — | — | 80.5 | |
| GCN + SLearning Mode=Two-Stage (Static + Sequence)2025.10 | 90.5 | — | — | — | — | — | — | — | 79.8 | |
| GAT + SLearning Mode=Two-Stage (Static + Sequence)2025.10 | 90.3 | — | — | — | — | — | — | — | 80 | |
| GCNLearning Mode=Graph Only (Static)2025.10 | 89.4 | — | — | — | — | — | — | — | 77.8 | |
| GATLearning Mode=Graph Only (Static)2025.10 | 89.3 | — | — | — | — | — | — | — | 78.1 | |
| ConvNCFEmbedding size=64, Optimizer=Adagrad2018.08 | 69.14 | 79.36 | 86.95 | 54.94 | 58.26 | 60.19 | — | — | — | |
| NATLearning Mode=Temporal Graphs2025.10 | 68 | — | — | — | — | — | — | — | 59.1 | |
| NeuMFEmbedding size=64, Optimizer=Adagrad, Number of layers=1 to 32018.08 | 67.44 | 77.93 | 86.02 | 53.19 | 56.6 | 58.65 | — | — | — | |
| JRLEmbedding size=64, Optimizer=Adagrad, Number of layers=1 to 32018.08 | 66.85 | 77.47 | 85.61 | 52.7 | 56.15 | 58.21 | — | — | — | |
| TNCNLearning Mode=Temporal Graphs2025.10 | 64 | — | — | — | — | — | — | — | 51.8 | |
| MLPEmbedding size=64, Optimizer=Adagrad, Number of layers=1 to 32018.08 | 63.59 | 75.9 | 85.35 | 48.02 | 52.02 | 54.43 | — | — | — | |
| TPNetLearning Mode=Temporal Graphs2025.10 | 62.9 | — | — | — | — | — | — | — | 51.4 | |
| MF-BPREmbedding size=64, Optimizer=Adagrad2018.08 | 62.84 | 74.8 | 84.22 | 48.25 | 52.14 | 54.54 | — | — | — | |
| TGNLearning Mode=Temporal Graphs2025.10 | 59.3 | — | — | — | — | — | — | — | 44.8 | |
| DyRepLearning Mode=Temporal Graphs2025.10 | 37.8 | — | — | — | — | — | — | — | 27.8 | |
| GraphMixerLearning Mode=Temporal Graphs2025.10 | 35.5 | — | — | — | — | — | — | — | 24.9 | |
| TCLLearning Mode=Temporal Graphs2025.10 | 27.5 | — | — | — | — | — | — | — | 20.5 | |
| ItemPopEmbedding size=64, Optimizer=Adagrad2018.08 | 20.03 | 27.85 | 37.39 | 10.99 | 13.5 | 15.91 | — | — | — | |
| FastPFRecLearning Paradigm=Federated2026.03 | — | — | — | — | — | — | 16.96 | 14.94 | — | |
| FedGNNLearning Paradigm=Federated2026.03 | — | — | — | — | — | — | 14.25 | 12.66 | — | |
| FedMFLearning Paradigm=Federated2026.03 | — | — | — | — | — | — | 14.73 | 11.93 | — | |
| FedNCFLearning Paradigm=Federated2026.03 | — | — | — | — | — | — | 14.74 | 12.96 | — | |
| LightGCNLearning Paradigm=Centralized2026.03 | — | — | — | — | — | — | 18.42 | 16.58 | — | |
| MFLearning Paradigm=Centralized2026.03 | — | — | — | — | — | — | 16.64 | 14.61 | — | |
| PerFedRecLearning Paradigm=Federated2026.03 | — | — | — | — | — | — | 13.65 | 12.54 | — | |
| PerFedRec++Learning Paradigm=Federated2026.03 | — | — | — | — | — | — | 15.49 | 13.88 | — | |
| SGLLearning Paradigm=Centralized2026.03 | — | — | — | — | — | — | 18.67 | 16.92 | — | |
| XSimGCLLearning Paradigm=Centralized2026.03 | — | — | — | — | — | — | 18.96 | 17.5 | — |