Uchenna Akujuobi

According to our database, Uchenna Akujuobi authored at least 15 papers between 2017 and 2024.

Collaborative distances:

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

2024

Revisiting named entity recognition in food computing: enhancing performance and robustness.

Uchenna Akujuobi, Shuhong Liu, Tarek R. Besold

Artif. Intell. Rev., September, 2024

Link prediction for hypothesis generation: an active curriculum learning infused temporal graph-based approach.

Uchenna Akujuobi, Priyadarshini Kumari, Jihun Choi, Samy Badreddine, Kana Maruyama, Sucheendra K. Palaniappan, Tarek R. Besold

Artif. Intell. Rev., September, 2024

It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance.

Laura Cabello, Uchenna Akujuobi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

T-PAIR: Temporal Node pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract).

Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

CERM: Context-Aware Literature-Based Discovery via Sentiment Analysis.

Julio Christian Young, Uchenna Akujuobi

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation.

Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang

IEEE Trans. Knowl. Data Eng., 2022

Semantic guide for semi-supervised few-shot multi-label node classification.

Lin Xiao, Pengyu Xu, Liping Jing, Uchenna Akujuobi, Xiangliang Zhang

Inf. Sci., 2022

2020

Learning from Scholarly Attributed Graphs for Scientific Discovery.

Uchenna Akujuobi

PhD thesis, 2020

Recurrent Attention Walk for Semi-supervised Classification.

Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation.

Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Dataset Recommendation via Variational Graph Autoencoder.

Basmah Altaf, Uchenna Akujuobi, Lu Yu, Xiangliang Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification.

Uchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Mining top-k Popular Datasets via a Deep Generative Model.

Uchenna Akujuobi, Ke Sun, Xiangliang Zhang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Delve: A Dataset-Driven Scholarly Search and Analysis System.

Uchenna Akujuobi, Xiangliang Zhang

SIGKDD Explor., 2017

Delve: A Data Set Retrieval and Document Analysis System.

Uchenna Akujuobi, Xiangliang Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017