Research Achievements

Filtered by author: "Seiji Maekawa"
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Low-resource Interactive Active Labeling for Fine-tuning Language Models

Seiji Maekawa, Dan Zhang, Hannah Kim, Sajjadur Rahman, Estevam Hruschka

Findings of Conference on Empirical Methods in Natural Language Processing

12, 2022

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Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs

Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka

NeurIPS Datasets and Benchmarks Track

11, 2022

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GNN Transformation Framework for Improving Efficiency and Scalability

Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka

Proceedings of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD)

9, 2022

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Benchmarking GNNs with GenCAT Workbench

Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka

Demo Track of ECML/PKDD

9, 2022

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Adaptive Node Embedding Propagation for Semi-Supervised

Yuya Ogawa, Seiji Maekawa, Yuya Sasaki, Yasuhiro Fujiwara, Makoto Onizuka

Classification. Proceedings of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD)

9, 2021

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Controlling Internal Structure of Communities on Graph Generator

Hiroto Yamaguchi, Yuya Ogawa, Seiji Maekawa, Yuya Sasaki, Makoto Onizuka

IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

12, 2020

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General Generator for Attributed Graphs with Community Structure

Seiji Maekawa, Jianpeng Zhang, George Fletcher, Makoto Onizuka

ECML PKDD, Graph Embedding and Mining Workshop, 2019

9, 2019

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General Generator for Attributed Graphs with Community Structure

Seiji Maekawa, Jianpeng Zhang, George Fletcher, Makoto Onizuka

ECML PKDD, Graph Embedding and Mining Workshop, 2019

2019

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