Abstract: Temporal knowledge graphs play a crucial role in event prediction and reasoning tasks, but current techniques face challenges in terms of interpretability and capturing complex temporal ...

We further applied exponential random graph models (ERGMs) to assess how channel type, frame, and their interaction influence the formation of ties. Results: The Pro-Ana Advocacy frames were primarily ...

Abstract: Complex networks with their nontrivial topological features and rich patterns of interactions are commonly used to model real-world systems, including social networks, biological systems, ...

Author Name Hazem KRICHENE (University of Hyogo) / ARATA Yoshiyuki (Fellow, RIETI) / Abhijit CHAKRABORTY (University of Hyogo) / FUJIWARA Yoshi (University of Hyogo) / INOUE Hiroyasu (University of ...

Capstone project for Erdos Bootcamp Summer 2024. Contribute to chand-ab/Temporal-Graphs-for-recommenders development by creating an account on GitHub.