Seiji Maekawa

According to our database, Seiji Maekawa authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models.

Seiji Maekawa, Hayate Iso, Sairam Gurajada, Nikita Bhutani

CoRR, 2024

2023

GenCAT: Generating attributed graphs with controlled relationships between classes, attributes, and topology.

Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka

Inf. Syst., May, 2023

Why Using Either Aggregated Features or Adjacency Lists in Directed or Undirected Graph? Empirical Study and Simple Classification Method.

Seiji Maekawa, Yuya Sasaki, Makoto Onizuka

CoRR, 2023

2022

Benchmarking GNNs with GenCAT Workbench.

Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

GNN Transformation Framework for Improving Efficiency and Scalability.

Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

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

Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Low-resource Interactive Active Labeling for Fine-tuning Language Models.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Effective Candidate Selection and Interpretable Interest Extraction for Follower Prediction on Social Media.

Seiji Maekawa, Santi Saeyor, Takeshi Sakaki, Makoto Onizuka

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Adaptive Node Embedding Propagation for Semi-supervised Classification.

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

New Attributed Graph Clustering by Bridging Attribute and Topology Spaces.

Seiji Maekawa, Koh Takeuchi, Makoto Onizuka

J. Inf. Process., 2020

Controlling Internal Structure of Communities on Graph Generator.

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

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2018

Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning.

Seiji Maekawa, Koh Takeuchi, Makoto Onizuka

CoRR, 2018