Oloulade Babatounde Moctard

Orcid: 0000-0003-0078-2148

According to our database1, Oloulade Babatounde Moctard authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
AutoDDI: Drug-Drug Interaction Prediction With Automated Graph Neural Network.
IEEE J. Biomed. Health Informatics, March, 2024

Adaptive graph contrastive learning with joint optimization of data augmentation and graph encoder.
Knowl. Inf. Syst., March, 2024

Graph neural architecture prediction.
Knowl. Inf. Syst., January, 2024

AutoTGRL: an automatic text-graph representation learning framework.
Neural Comput. Appl., 2024

2023
GM2NAS: multitask multiview graph neural architecture search.
Knowl. Inf. Syst., October, 2023

Cancer drug response prediction with surrogate modeling-based graph neural architecture search.
Bioinform., August, 2023

Neural predictor-based automated graph classifier framework.
Mach. Learn., April, 2023

AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework.
IEEE Trans. Parallel Distributed Syst., 2022

A Principal Neighborhood Aggregation-Based Graph Convolutional Network for Pneumonia Detection.
Sensors, 2022

2021
GraphPAS: Parallel Architecture Search for Graph Neural Networks.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Multi-label Metabolic Pathway Prediction with Auto Molecular Structure Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2019
Automatic textual Knowledge Extraction based on Paragraph Constitutive Relations.
Proceedings of the 6th International Conference on Systems and Informatics, 2019


  Loading...