GCN Anomaly Prediction Model Development

I'm seeking a savvy data scientist to bring my project to fruition; employing Graph Convolutional Networks (GCN) for the prediction of sensor values and subsequently, anomaly detection. Key details: - Purpose: We are building a model meant to predict values from 20 discrete sensors. Based on the familiarity of these sensor values, the target is to then calculate the degree of anomaly from the expected prediction. - Data: We'll be working with a medium-sized dataset (1,000 to 10,000 data points). The data is specifically discrete sensor data, not time-series or mixed. Desired skills: - Familiarity and understanding of GCNs. - Strong experience in anomaly detection models. - Proficient in dealing with discrete sensor data. - Comfortable handling medium-sized datasets. This project is a wonderful opportunity for anyone specializing in the field of data science and machine learning. Your skills will directly contribute to improving the predictive capabilities of our system.