Dongkwan Kim

Affiliations:
  • Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea


According to our database1, Dongkwan Kim authored at least 11 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Measuring Interest Group Positions on Legislation: An AI-Driven Analysis of Lobbying Reports.
CoRR, April, 2025

Generalizing Weisfeiler-Lehman Kernels to Subgraphs.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MUG-Eval: A Proxy Evaluation Framework for Multilingual Generation Capabilities in Any Language.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

LLM-as-an-Interviewer: Beyond Static Testing Through Dynamic LLM Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022
Efficient Representation Learning of Subgraphs by Subgraph-To-Node Translation.
CoRR, 2022

Models and Benchmarks for Representation Learning of Partially Observed Subgraphs.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision.
Proceedings of the 9th International Conference on Learning Representations, 2021

2019
Homogeneity-Based Transmissive Process to Model True and False News in Social Networks.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Additive Compositionality of Word Vectors.
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019


  Loading...