ICLR

MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses

Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou

机构 * Nanyang Technological University（南洋理工大学） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； University of Science and Technology of China（中国科学技术大学） ； Wuhan University（武汉大学） ； University of New South Wales（新南威尔士大学） ； GreenDynamics ； Singapore University of Technology and Design（新加坡科技设计大学） 纠错

Comments Accepted by ICLR 2025

Charting the Design Space of Neural Graph Representations for Subgraph Matching

Vaibhav Raj, Indradyumna Roy, Ashwin Ramachandran, Soumen Chakrabarti, Abir De

机构 * Department of Computer Science and Engineering, IIT Bombay（计算机科学与工程系，印度理工学院班加罗尔） 纠错

Comments ICLR 2025

Deep Learning on Real-World Graphs

Emanuele Rossi

Comments The thesis was submitted for the degree of Doctor of Philosophy in Computing at Imperial College London (February 2024), under the supervision of Prof. Michael M. Bronstein. It includes work published at ICML, ICLR, NeurIPS, and the Learning on Graphs Conference