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Graph Neural Networks
GraphBench: Next-generation graph learning benchmarking
Published:12/4/2025
Graph Learning BenchmarkingGraph Neural NetworksMessage-Passing Neural NetworksStandardized Evaluation ProtocolsGenerative Graph Learning
GraphBench is a comprehensive benchmarking suite for graph learning, addressing fragmented practices. It covers various tasks and provides standardized evaluation protocols, dataset splits, and hyperparameter tuning, benchmarking with messagepassing networks and graph transforme
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Modality-Independent Graph Neural Networks with Global Transformers for
Multimodal Recommendation
Published:12/19/2024
Multimodal Recommendation SystemsGraph Neural NetworksModality-Independent Receptive FieldsGlobal TransformerUser-Item Graph Modeling
This study presents modalityindependent GNNs to enhance multimodal recommendation performance by utilizing separate GNNs for different modalities. A samplingbased global transformer effectively integrates global information, addressing limitations of existing methods, with supe
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