Seiji Maekawa

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Retrieval Effectiveness

Classification Method

Top Venues

Publications

Seiji Maekawa, Hayate Iso, Sairam Gurajada, Nikita Bhutani
Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models. CoRR (2024)
Seiji Maekawa, Hayate Iso, Sairam Gurajada, Nikita Bhutani
Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models. NAACL-HLT (2024)
Seiji Maekawa, Yuya Sasaki, Makoto Onizuka
Why Using Either Aggregated Features or Adjacency Lists in Directed or Undirected Graph? Empirical Study and Simple Classification Method. CoRR (2023)
Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
GenCAT: Generating attributed graphs with controlled relationships between classes, attributes, and topology. Inf. Syst. 115 (2023)
Seiji Maekawa, Dan Zhang, Hannah Kim, Sajjadur Rahman, Estevam Hruschka
Low-resource Interactive Active Labeling for Fine-tuning Language Models. EMNLP (Findings) (2022)
Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs. NeurIPS (2022)
Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
GNN Transformation Framework for Improving Efficiency and Scalability. CoRR (2022)
Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
Benchmarking GNNs with GenCAT Workbench. ECML/PKDD (6) (2022)
Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
GNN Transformation Framework for Improving Efficiency and Scalability. ECML/PKDD (2) (2022)
Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs. CoRR (2022)
Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
GenCAT: Generating Attributed Graphs with Controlled Relationships between Classes, Attributes, and Topology. CoRR (2021)
Seiji Maekawa, Santi Saeyor, Takeshi Sakaki, Makoto Onizuka
Effective Candidate Selection and Interpretable Interest Extraction for Follower Prediction on Social Media. WI/IAT (2021)
Yuya Ogawa, Seiji Maekawa, Yuya Sasaki, Yasuhiro Fujiwara, Makoto Onizuka
Adaptive Node Embedding Propagation for Semi-supervised Classification. ECML/PKDD (2) (2021)
Hiroto Yamaguchi, Yuya Ogawa, Seiji Maekawa, Yuya Sasaki, Makoto Onizuka
Controlling Internal Structure of Communities on Graph Generator. ASONAM (2020)
Seiji Maekawa, Koh Takeuchi, Makoto Onizuka
New Attributed Graph Clustering by Bridging Attribute and Topology Spaces. J. Inf. Process. 28 (2020)
Seiji Maekawa, Koh Takeuchi, Makoto Onizuka
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning. CoRR (2018)