Standout Papers

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs 2024 202645
  1. Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs (2024)
    Zhikai Chen, Hang Li et al. ACM SIGKDD Explorations Newsletter

Citation Impact

25 standout
Sub-graph 1 of 11

Citing Papers

BB-GeoGPT: A framework for learning a large language model for geographic information science
2024 Standout
A Comprehensive Survey on Deep Graph Representation Learning
2024 Standout

Works of Wei Jin being referenced

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs
2024 Standout
Adversarial Attacks and Defenses on Graphs
2021

Author Peers

Author Artificial Intelligence Molecular Biology CVPR Information Systems Last Decade Papers Cites
Wei Jin 231 70 44 60 25 385
Darryl Dickerson 31 1 16 424
Susan Thorne 19 291
Sandro Levi 10 3 13 298
Haruo KAMEDA 111 74 751
Nakaji Honda 140 2 38 7 29 349

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2026