Our Delve System and its Applicaiton. https://delve.kaust.edu.sa/
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Uchenna Akujuobi, Qiannan Zhang, Han Yufei, Xiangliang Zhang. Recurrent Attention Walk for Semi-supervised Classification. Accepted by The 13th ACM International WSDM Conference. Feb 3-7, 2020, Houston, Texas. (Acceptance rate =91/615 = 15%)
- Uchenna Akujuobi, Han Yufei, Qiannan Zhang, Xiangliang Zhang. Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification. Accepted by 19th IEEE International Conference on Data Mining (ICDM 2019), November 8-11, 2019, Beijing, China (Regular paper, Acceptance rate= 95/1046 9.08%).
- Basmah Altaf, Uchenna Akujuobi, Lu Yu, Xiangliang Zhang, Dataset Recommendation via Variational Graph Autoencoder. Accepted by 19th IEEE International Conference on Data Mining (ICDM 2019), November 8-11, 2019, Beijing, China (Regular paper, Acceptance rate= 95/1046 9.08%).
- Yujun Chen, Yuanhong Wang, Yutao Zhang, Juhua Pu, Xiangliang Zhang. AMENDER: an Attentive and Aggregate Multi-layered Network for Dataset Recommendation. Accepted by 19th IEEE International Conference on Data Mining (ICDM 2019), November 8-11, 2019, Beijing, China (Short paper, Acceptance rate= 18.5%).
- Uchenna Akujuobi, Ke Sun, and Xiangliang Zhang: Mining top-k Popular Datasets via a Deep Generative Model. Accepted by IEEE Big Data 2018, Seattle, WA, USA, December 10-13, 2018 (regular paper, acceptance rate = 98/518 =18.9%)[PDF][Bib][Slides].
- Uchenna Akujuobi, Xiangliang Zhang: Delve: A Dataset-Driven Scholarly Search and Analysis System. In SIGKDD Explorations, Vol. 19, Issue 2, pp. 36-46, 2017 [PDF][Bib].