Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph Transformers

1 code implementation • 18 Jul 2023 • Sameera Horawalavithana, Ellyn Ayton, Anastasiya Usenko, Robin Cosbey, Svitlana Volkova

The ability to anticipate technical expertise and capability evolution trends globally is essential for national and global security, especially in safety-critical domains like nuclear nonproliferation (NN) and rapidly emerging fields like artificial intelligence (AI).

Link Prediction Relational Reasoning

EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs

1 code implementation • 14 Apr 2022 • Sameera Horawalavithana, Ellyn Ayton, Anastasiya Usenko, Shivam Sharma, Jasmine Eshun, Robin Cosbey, Maria Glenski, Svitlana Volkova

Machine learning models that learn from dynamic graphs face nontrivial challenges in learning and inference as both nodes and edges change over time.