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Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges.

, , , and . WWW (Companion Volume), page 1298-1301. ACM, (2024)

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How Powerful is Implicit Denoising in Graph Neural Networks., , , , , and . CoRR, (2022)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)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)HiPool: Modeling Long Documents Using Graph Neural Networks., , , and . ACL (2), page 161-171. Association for Computational Linguistics, (2023)Redundancy-Free Computation for Graph Neural Networks., , , , , and . KDD, page 997-1005. ACM, (2020)TrustLLM: Trustworthiness in Large Language Models., , , , , , , , , and 56 other author(s). CoRR, (2024)Bipartite Dynamic Representations for Abuse Detection., , , , , and . KDD, page 3638-3648. ACM, (2021)