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Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs.

, , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 3462-3471. PMLR, (2017)

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Jing Dai

Huangdong Dai

Yangguang Dai

Min Dai

Pengyu Dai

 

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Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs., , , и . CoRR, (2017)Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs., , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 3462-3471. PMLR, (2017)Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders., , , , , , , и . CoRR, (2020)Score-based Continuous-time Discrete Diffusion Models., , , , и . CoRR, (2022)Retrosynthesis Prediction with Conditional Graph Logic Network., , , , и . CoRR, (2020)Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 4605-4617. PMLR, (2022)Kernel Exponential Family Estimation via Doubly Dual Embedding., , , , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 2321-2330. PMLR, (2019)Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration., , , , и . NeurIPS, (2020)Optimal Scaling for Locally Balanced Proposals in Discrete Spaces., , и . NeurIPS, (2022)Scalable Deep Generative Modeling for Sparse Graphs., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 2302-2312. PMLR, (2020)