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ORCIDRoshni G. Iyer
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2020 – today
- 2024
[i6]Roshni G. Iyer, Wei Wang, Yizhou Sun:
Hierarchical Attention Models for Multi-Relational Graphs. CoRR abs/2404.09365 (2024)- [i5]Khiem Le, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni G. Iyer, Xiangliang Zhang, Olaf Wiest, Wei Wang, Nitesh V. Chawla:
MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension. CoRR abs/2406.06777 (2024) - 2023
- [c4]Roshni G. Iyer, Thuy Vu, Alessandro Moschitti, Yizhou Sun:
Question-Answer Sentence Graph for Joint Modeling Answer Selection. EACL 2023: 968-979 - [c3]Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla:
Graph-based Molecular Representation Learning. IJCAI 2023: 6638-6646 - [i4]Roshni G. Iyer, Wei Wang, Yizhou Sun:
Bi-Level Attention Graph Neural Networks. CoRR abs/2304.11533 (2023) - 2022
- [c2]Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun:
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. KDD 2022: 676-686 - [i3]Roshni G. Iyer, Thuy Vu, Alessandro Moschitti, Yizhou Sun:
Question-Answer Sentence Graph for Joint Modeling Answer Selection. CoRR abs/2203.03549 (2022) - [i2]Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun:
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. CoRR abs/2209.08767 (2022) - 2021
- [c1]Roshni G. Iyer, Wei Wang, Yizhou Sun:
Bi-Level Attention Graph Neural Networks. ICDM 2021: 1126-1131 - 2020
- [i1]Roshni G. Iyer, Yizhou Sun, Wei Wang, Justin Gottschlich:
Software Language Comprehension using a Program-Derived Semantic Graph. CoRR abs/2004.00768 (2020)
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