Recently, ChatGPT, along with DALL-E-2 and Codex, has been gaining significant attention
from society. As a result, many individuals have become interested in related resources and …

Large language models (LLMs), such as GPT4 and LLaMA, are creating significant
advancements in natural language processing, due to their strong text encoding/decoding …

Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …

Large Language Models (LLMs) have emerged as a transformative power in enhancing
natural language comprehension, representing a significant stride toward artificial general …

Large Language Models (LLMs), with their remarkable task-handling capabilities and
innovative outputs, have catalyzed significant advancements across a spectrum of fields …

Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …

Molecule discovery plays a crucial role in various scientific fields, advancing the design of
tailored materials and drugs, which contributes to the development of society and human …

Large language models have made significant strides in natural language processing,
enabling innovative applications in molecular science by processing textual representations …

Emerging as fundamental building blocks for diverse artificial intelligence applications,
foundation models have achieved notable success across natural language processing and …

Language Models (LMs) have demonstrated impressive molecule understanding ability on
various 1D text-related tasks. However, they inherently lack 2D graph perception-a critical …