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Composition-based Multi-Relational Graph Convolutional Networks., , , и . ICLR, OpenReview.net, (2020)APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning., , , , , , , и . ACL (1), стр. 6308-6321. Association for Computational Linguistics, (2023)A Hierarchical and Distributed Approach for Mapping Large Applications to Heterogeneous Grids Using Genetic Algorithms., , , и . CLUSTER, стр. 496-499. IEEE Computer Society, (2003)MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction., , , , , , и . CoRR, (2018)InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions., , , , и . AAAI, стр. 3009-3016. AAAI Press, (2020)Discretized Integrated Gradients for Explaining Language Models., и . EMNLP (1), стр. 10285-10299. Association for Computational Linguistics, (2021)SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning., , , , , и . NeurIPS, стр. 18241-18255. (2021)Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification., , , , и . CoRR, (2024)Generate rather than Retrieve: Large Language Models are Strong Context Generators., , , , , , , , и . ICLR, OpenReview.net, (2023)PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning., , , , , , , , , и . ICLR, OpenReview.net, (2024)