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Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing.

, , , and . ACL (1), The Association for Computer Linguistics, (2016)

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Hierarchical Graph Representation Learning with Differentiable Pooling., , , , , and . NeurIPS, page 4805-4815. (2018)GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models., , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5694-5703. PMLR, (2018)Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks., , , , , , and . CoRR, (2018)GraphRNN: A Deep Generative Model for Graphs., , , , and . CoRR, (2018)Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing., , , and . ACL (1), The Association for Computer Linguistics, (2016)Inductive Relation Prediction on Knowledge Graphs., and . CoRR, (2019)Meta-Graph: Few shot Link Prediction via Meta Learning., , , and . CoRR, (2019)Representation Learning on Graphs: Methods and Applications., , and . IEEE Data Eng. Bull., 40 (3): 52-74 (2017)Vernal: a tool for mining fuzzy network motifs in RNA., , , , and . Bioinform., 38 (4): 970-976 (2022)Compositional Language Understanding with Text-based Relational Reasoning., , , and . CoRR, (2018)