Towards Better Evaluation for Dynamic Link Prediction Farimah Poursafaei, Shenyang Huang
–Neural Information Processing Systems
Despite the prevalence of recent success in learning from static graphs, learning from time-evolving graphs remains an open challenge.
Neural Information Processing Systems
Aug-19-2025, 05:47:48 GMT
- Country:
- Asia > China
- Liaoning Province > Shenyang (0.40)
- Europe > Denmark
- Capital Region > Copenhagen (0.04)
- North America
- Canada > Quebec
- Montreal (0.04)
- United States > California (0.14)
- Canada > Quebec
- Asia > China
- Genre:
- Overview (0.92)
- Research Report (0.93)
- Industry:
- Education > Educational Setting (0.68)
- Government (0.93)
- Transportation (0.68)
- Technology:
- Information Technology
- Artificial Intelligence > Machine Learning
- Neural Networks (1.00)
- Communications > Social Media (1.00)
- Data Science > Data Mining (1.00)
- Information Management (1.00)
- Artificial Intelligence > Machine Learning
- Information Technology