human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Heterogeneous Graph Neural Networks for Malicious Account Detection"
  Abstract: We present, GEM, the first heterogeneous graph neural network approach for detecting malicious accounts at Alipay, one of the world's leading mobile cashless payment platform. Our approach, inspired from a connected subgraph approach, adaptively learns discriminative embeddings from heterogeneous account-device graphs based on two fundamental weaknesses of attackers, i.e. device aggregation and activity aggregation. For the heterogeneous graph consists of various types of nodes, we propose an attention mechanism to learn the importance of different types of nodes, while using the sum operator for modeling the aggregation patterns of nodes in each type. Experiments show that our approaches consistently perform promising results compared with competitive methods over time.

Connected through hyperedge HE-1 (induced by source paper "Neural Machine Translation by Jointly Learning to Align and Translate"):
  with members:
    - "A Neural Conversational Model"
    - "Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models"
    - "Maxout Networks"
    - "Image Captioning and Visual Question Answering Based on Attributes and Their Related External Knowledge."
    - "Relational inductive biases, deep learning, and graph networks."
    - "Identifying the Relative Importance of Customer Issues on Product Ratings through Machine Learning"
    - "CanvasGAN: A simple baseline for text to image generation by incrementally patching a canvas"
    - "Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science