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InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions.

, , , , and . AAAI, page 3009-3016. AAAI Press, (2020)

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Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification., , , , and . CoRR, (2024)SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning., , , , , and . NeurIPS, page 18241-18255. (2021)Generate rather than Retrieve: Large Language Models are Strong Context Generators., , , , , , , , and . ICLR, OpenReview.net, (2023)RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning., , and . CoRR, (2022)Faith and Fate: Limits of Transformers on Compositionality., , , , , , , , , and 6 other author(s). CoRR, (2023)InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions., , , , and . CoRR, (2019)MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction., , , , , , and . CoRR, (2018)InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions., , , , and . AAAI, page 3009-3016. AAAI Press, (2020)Discretized Integrated Gradients for Explaining Language Models., and . EMNLP (1), page 10285-10299. Association for Computational Linguistics, (2021)ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations., , and . CoRR, (2019)