[PDF][PDF] Position: Topological Deep Learning is the New Frontier for Relational Learning
Topological deep learning (TDL) is a rapidly evolving field that uses topological features to
understand and design deep learning models. This paper posits that TDL may complement …
understand and design deep learning models. This paper posits that TDL may complement …
Range-aware Positional Encoding via High-order Pretraining: Theory and Practice
VA Nguyen, NK Ngo, TS Hy - arxiv preprint arxiv:2409.19117, 2024 - arxiv.org
Unsupervised pre-training on vast amounts of graph data is critical in real-world applications
wherein labeled data is limited, such as molecule properties prediction or materials science …
wherein labeled data is limited, such as molecule properties prediction or materials science …
HYGENE: A Diffusion-based Hypergraph Generation Method
Hypergraphs are powerful mathematical structures that can model complex, high-order
relationships in various domains, including social networks, bioinformatics, and …
relationships in various domains, including social networks, bioinformatics, and …
The TILOS AI Institute: Integrating optimization and AI for chip design, networks, and robotics
Optimization is a universal quest, reflecting the basic human need to do better. Improved
optimizations of energy‐efficiency, safety, robustness, and other criteria in engineered …
optimizations of energy‐efficiency, safety, robustness, and other criteria in engineered …
Generative AI-assisted Virtual Screening Pipeline for Generalizable and Efficient Drug Repurposing
Drug repurposing presents a valuable strategy to expedite drug discovery by identifying new
therapeutic uses for existing compounds, especially for diseases with limited treatment …
therapeutic uses for existing compounds, especially for diseases with limited treatment …