Bonaventure C. Molokwu

Orcid: 0000-0003-4370-705X

According to our database1, Bonaventure C. Molokwu authored at least 20 papers between 2019 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
An Overview of Blockchain-Based Application in Internet of Things (IoT).
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

XMODOS: An Explainable Model for Denial of Service Attack Detection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022
A deep learning and heuristic methodology for predicting breakups in social network structures.
Comput. Intell., 2022

HTransE: Hybrid Translation-based Embedding for Knowledge Graphs.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

2021
Social Network Analysis: A Machine Learning Approach.
PhD thesis, 2021

FUSIONET: A Hybrid Model Towards Image Classification.
Int. J. Comput. Intell. Appl., 2021

A Multi-Task Learning Framework for COVID-19 Monitoring and Prediction of PPE Demand in Community Health Centres.
CoRR, 2021

Simulating and Predicting the Active Cases and Hospitalization Considering the Second Wave of COVID-19.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

HRotatE: Hybrid Relational Rotation Embedding for Knowledge Graph.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Node Classification and Link Prediction in Social Graphs using RLVECN.
Proceedings of the SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management, 2020

Link Prediction in Social Graphs using Representation Learning via Knowledge-Graph Embeddings and ConvNet (RLVECN).
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Simulating the Impact of Hospital Capacity and Social Isolation to Minimize the Propagation of Infectious Diseases.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Social Network Analysis using RLVECN: Representation Learning via Knowledge-Graph Embeddings and Convolutional Neural-Network.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Social Network Analysis using Knowledge-Graph Embeddings and Convolution Operations.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Classification of Actors in Social Networks Using RLVECO.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network.
Proceedings of the Computational Science - ICCS 2020, 2020

2019
Spatial Event Prediction via Multivariate Time Series Analysis of Neighboring Social Units using Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Event Prediction in Complex Social Graphs using One-Dimensional Convolutional Neural Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Event Prediction in Complex Social Graphs via Feature Learning of Vertex Embeddings.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Event Prediction in Social Graphs Using 1-Dimensional Convolutional Neural Network.
Proceedings of the Advances in Artificial Intelligence, 2019


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