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Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design.

, , , , , and . EMNLP (Findings), page 8348-8365. Association for Computational Linguistics, (2023)

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Applications in Data-Intensive Computing., , , , , , , , , and 12 other author(s). Adv. Comput., (2010)Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction., , , , , , and . CoRR, (2022)NOUS: Construction and Querying of Dynamic Knowledge Graphs., , , , , , and . CoRR, (2016)Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks., , , , and . CoRR, (2020)Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates., , , , and . CoRR, (2021)Data-driven Distributed Learning of Multi-agent Systems: A Koopman Operator Approach., , , , , and . CDC, page 5059-5066. IEEE, (2021)When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes., , , and . CIKM, page 2287-2290. ACM, (2017)Application-specific graph sampling for frequent subgraph mining and community detection., , and . IEEE BigData, page 1000-1005. IEEE Computer Society, (2017)HyperThesis: Topological Hypothesis Management in a Hypergraph Knowledgebase., , , , , , , , , and 2 other author(s). TAC, NIST, (2018)Attention-based aspect reasoning for knowledge base question answering on clinical notes., , , , and . BCB, page 10:1-10:6. ACM, (2022)