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Inductive Representation Learning on Large Graphs

, , and . (2017)cite arxiv:1706.02216Comment: Published in NIPS 2017; version with full appendix and minor corrections.

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Representation Learning on Graphs: Methods and Applications, , and . arXiv:1709.05584 cs, (April 2018)arXiv: 1709.05584.Neural Execution of Graph Algorithms., , , , and . ICLR, OpenReview.net, (2020)Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020., , , , , , and . CoRR, (2022)GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks., , , , , , , and . CoRR, (2022)How Powerful is Implicit Denoising in Graph Neural Networks., , , , , and . CoRR, (2022)Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones., , , and . CoRR, (2021)Neural Distance Embeddings for Biological Sequences., , , , , and . CoRR, (2021)Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks., and . PKDD/ECML Workshops (1), volume 1524 of Communications in Computer and Information Science, page 238-257. Springer, (2021)Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree., , and . KDD, page 3206-3216. ACM, (2023)Adversarially Robust Neural Architecture Search for Graph Neural Networks., , , , , , , and . CVPR, page 8143-8152. IEEE, (2023)