Abhishek Mallik
Biographic Data
| ID | 10056171 |
|---|---|
| NAME | Abhishek Mallik |
| GIVEN NAMES | Abhishek |
| FAMILY NAME | Mallik |
| SIGNATURE | MALLIK A |
| AFFILIATIONS | Delhi Technological University |
| ORCID | 0000-0002-5665-1836 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
OptNet-Fake
Exposure to half-truths or lies has the potential to undermine democracies, polarize public opinion, and promote violent extremism. Identifying the veracity of fake news is a challenging task in distributed and disparate cyber-socio platforms. To enhance the trustworthiness of news on these platforms, in this article, we put forward a fake news detection model, OptNet-Fake. The proposed model is architecturally a hybrid that uses a meta-heuristic…
TLP-Negcn
Temporal link prediction (TLP) is a prominent problem in network analysis that focuses on predicting the existence of future connections or relationships between entities in a dynamic network over time. The predictive capabilities of existing models of TLP are often constrained due to their difficulty in adapting to the changes in dynamic network structures over time. In this article, an improved TLP model, denoted as TLP-NEGCN, is introduced by …
No prominent works on this page.
OptNet-Fake
Exposure to half-truths or lies has the potential to undermine democracies, polarize public opinion, and promote violent extremism. Identifying the veracity of fake news is a challenging task in distributed and disparate cyber-socio platforms. To enhance the trustworthiness of news on these platforms, in this article, we put forward a fake news detection model, OptNet-Fake. The proposed model is architecturally a hybrid that uses a meta-heuristic…
TLP-Negcn
Temporal link prediction (TLP) is a prominent problem in network analysis that focuses on predicting the existence of future connections or relationships between entities in a dynamic network over time. The predictive capabilities of existing models of TLP are often constrained due to their difficulty in adapting to the changes in dynamic network structures over time. In this article, an improved TLP model, denoted as TLP-NEGCN, is introduced by …
Artificial Intelligence (2 works) · Computer Science (2 works) · Advanced Graph Neural Networks (1 work) · Advanced Malware Detection Techniques (1 work) · Artificial neural network (1 work) · Autoencoder (1 work) · Combinatorics (1 work) · Complex Network Analysis Techniques (1 work) · Computer network (1 work) · Convolutional neural network (1 work)