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BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding., , and . CEC, page 1-7. IEEE, (2020)On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?, , , , , , , and . CoRR, (2023)Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network., , , and . WWW, page 3026-3032. ACM / IW3C2, (2020)A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability., , , , , , , and . CoRR, (2022)Learning Fair Models without Sensitive Attributes: A Generative Approach., and . CoRR, (2022)Learning fair models without sensitive attributes: A generative approach., , , and . Neurocomputing, (December 2023)Fairness-aware Message Passing for Graph Neural Networks., , , , , and . CoRR, (2023)You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network., , , and . PAKDD (2), volume 13936 of Lecture Notes in Computer Science, page 40-52. Springer, (2023)3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs., , and . CoRR, (2024)MolBind: Multimodal Alignment of Language, Molecules, and Proteins., , , and . CoRR, (2024)