Software Language Comprehension using a Program-Derived Semantic Graph. - Roshni G. Iyer; Yizhou Sun; Wei Wang 010; Justin Gottschlich (CoRR, 2020)

Bi-Level Attention Graph Neural Networks. - Roshni G. Iyer; Wei Wang 010; Yizhou Sun (ICDM, 2021)

Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. - Roshni G. Iyer; Yunsheng Bai; Wei Wang 010; Yizhou Sun (KDD, 2022)

Question-Answer Sentence Graph for Joint Modeling Answer Selection. - Roshni G. Iyer; Thuy Vu; Alessandro Moschitti; Yizhou Sun (EACL, 2023)

Graph-based Molecular Representation Learning. - Zhichun Guo; Kehan Guo; Bozhao Nan; Yijun Tian 001; Roshni G. Iyer; Yihong Ma; Olaf Wiest; Xiangliang Zhang 001; Wei Wang 010; Chuxu Zhang; Nitesh V. Chawla (IJCAI, 2023)

Non-Euclidean Mixture Model for Social Network Embedding. - Roshni G. Iyer; Yewen Wang; Wei Wang 010; Yizhou Sun (NeurIPS, 2024)

Hierarchical Attention Models for Multi-Relational Graphs. - Roshni G. Iyer; Wei Wang 010; Yizhou Sun (CoRR, 2024)

MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension. - Khiem Le; Zhichun Guo; Kaiwen Dong; Xiaobao Huang; Bozhao Nan; Roshni G. Iyer; Xiangliang Zhang 001; Olaf Wiest; Wei Wang 010; Nitesh V. Chawla (CoRR, 2024)