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DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk., , , , , , , , and . CoRR, (2023)Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning., , , , , and . CoRR, (2023)ROLLER: Fast and Efficient Tensor Compilation for Deep Learning., , , , , , , , , and 5 other author(s). OSDI, page 233-248. USENIX Association, (2022)Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs., , , , , , , , , and 2 other author(s). CoRR, (2023)A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks., , , , , , , and . CoRR, (2023)LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning., , , , , , , , , and 2 other author(s). CoRR, (2023)Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning., , and . CoRR, (2023)On provable privacy vulnerabilities of graph representations., , , , , , and . CoRR, (2024)Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-critic Reinforcement Learning., , , and . CoRR, (2021)Self-supervision meets kernel graph neural models: From architecture to augmentations., , , , , , , , , and 1 other author(s). ICDM (Workshops), page 1076-1083. IEEE, (2023)