Bitcoin dropped to a multi-month low near $96k this week. On-chain data shows selling pressure has been surging over the past 7 days. STRK, AB, UNI lead altcoin gains over the past 7 days. The past ...
Abstract: Conditional diffusion models (CDMs) are an emerging family of generative models that enable controllable, data-driven generation across a wide range of modalities. Through conditioning of ...
Abstract: Accurate traffic prediction is critical for ensuring the efficient operation of mobile networks and maintaining a seamless user experience. However, existing approaches face several ...
Achieving state-of-the-art accuracy in molecular property prediction using self-supervised AI, enabling cost-effective modeling based on electron-level information without quantum calculations ...
Graph generation is a complex problem that involves constructing structured, non-Euclidean representations while maintaining meaningful relationships between entities. Most current methods fail to ...
This repository contains the code for our submission to the ALTEGRAD 2024 Kaggle Challenge. The goal of this challenge is to perform conditional graph generation: given a set of properties ( c ) (e.g.
The layered oxide material LiNiO 2 (LNO) is one of the most promising cathode materials for lithium-ion batteries (LIBs). However, the serious cation mixing of Ni 2+ and Li + in LNO cathode leads to ...