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LoyalDE: Improving the performance of Graph Neural Networks with loyal node discovery and emphasis.

, , , and . Neural Networks, (July 2023)

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Handling information loss of graph convolutional networks in collaborative filtering., , , , and . Inf. Syst., (2022)Towards Effective and General Graph Unlearning via Mutual Evolution., , , , , and . AAAI, page 13682-13690. AAAI Press, (2024)Siamese Network Based Multiscale Self-Supervised Heterogeneous Graph Representation Learning., , , , , and . IEEE Access, (2022)Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification., , , , , and . CoRR, (2023)Adaptive Hypergraph Auto-Encoder for Relational Data Clustering., , , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (3): 2231-2242 (March 2023)A Simple Graph Convolutional Network With Abundant Interaction for Collaborative Filtering., , , , , and . IEEE Access, (2021)FedGTA: Topology-aware Averaging for Federated Graph Learning., , , , , and . Proc. VLDB Endow., 17 (1): 41-50 (2023)AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity., , , , , and . CoRR, (2024)Effective hybrid graph and hypergraph convolution network for collaborative filtering., , , , , and . Neural Comput. Appl., 35 (3): 2633-2646 (2023)A Deep Graph Structured Clustering Network., , , , , and . IEEE Access, (2020)