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GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking.

, , and . CoRR, (2023)

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An Information Theoretic Perspective for Heterogeneous Subgraph Federated Learning., , and . DASFAA (1), volume 13943 of Lecture Notes in Computer Science, page 745-760. Springer, (2023)Hierarchical Hypergraph Recurrent Attention Network for Temporal Knowledge Graph Reasoning., , , , and . ICASSP, page 1-5. IEEE, (2023)On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering., , , , , , , and . KDD, page 602-613. ACM, (2023)Boosting Disfluency Detection with Large Language Model as Disfluency Generator., , , and . CoRR, (2024)Homophily-oriented Heterogeneous Graph Rewiring., , , , , , , , and . WWW, page 511-522. ACM, (2023)Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation., , , , , , and . WSDM, page 343-352. ACM, (2022)Learning Robust Representation Through Graph Adversarial Contrastive Learning., , , and . DASFAA (1), volume 13245 of Lecture Notes in Computer Science, page 682-697. Springer, (2022)How "Task-Individual Fit" Influences User Contribution Behaviors in Citizen Science., , , and . ICCSE, page 95-102. ACM, (2019)Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation., , , , , and . CIKM, page 624-634. ACM, (2022)AIGB: Generative Auto-bidding via Diffusion Modeling., , , , , , , and . CoRR, (2024)