Falih Febrinanto

According to our database, Falih Febrinanto authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting.

Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Gozi Febrinanto, Madhu Chetty

IEEE Trans. Comput. Soc. Syst., February, 2024

Motif-Induced Subgraph Generative Learning for Explainable Neurological Disorder Detection.

Mujie Liu, Qichao Dong, Chenze Wang, Xinrui Cheng, Falih Gozi Febrinanto, Azadeh Noori Hoshyar, Feng Xia

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023

Graph Lifelong Learning: A Survey.

Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal

IEEE Comput. Intell. Mag., February, 2023

Entropy Causal Graphs for Multivariate Time Series Anomaly Detection.

Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Mujie Liu, Vidya Saikrishna, Jiangang Ma, Feng Xia

CoRR, 2023

Efficient Graph Learning for Anomaly Detection Systems.

Falih Gozi Febrinanto

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Balanced Graph Structure Information for Brain Disease Detection.

Falih Gozi Febrinanto, Mujie Liu, Feng Xia

Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2023

2022

Attractiveness based conference ranking.

Chen Zhang, Falih Febrinanto, Mujie Liu, Xiangjie Kong, Dongyu Zhang, Sardar M. N. Islam

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

2021

Cross Network Representation Matching with Outliers.

Mingliang Hou, Jing Ren, Falih Febrinanto, Ahsan Shehzad, Feng Xia

Proceedings of the 2021 International Conference on Data Mining, 2021