Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay Pande, Jure Leskovec

Nov-20-2025, 20:23:14 GMT–Neural Information Processing Systems

Generating novel graph structures that optimize given objectives while obeying some given underlying rules is fundamental for chemistry, biology and social science research.

artificial intelligence, machine learning, reinforcement learning, (18 more...)

Neural Information Processing Systems

Nov-20-2025, 20:23:14 GMT

Conferences PDF

Country:
- Europe > France
  - Hauts-de-France > Nord > Lille (0.04)
- North America
  - Canada > Quebec
    - Montreal (0.04)
  - United States > California
    - Santa Clara County
      - Palo Alto (0.05)
      - Stanford (0.04)
- Oceania > Australia
  - New South Wales > Sydney (0.04)

Industry:
- Health & Medicine (0.69)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Neural Networks > Deep Learning (0.94)
    - Reinforcement Learning (0.70)
    - Statistical Learning (1.00)
  - Representation & Reasoning (1.00)

Duplicate Docs Excel Report

Title
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

Similar Docs Excel Report more

Title	Similarity	Source
None found