Adeshina, Soji

5 publications

ICLR 2024 NetInfoF Framework: Measuring and Exploiting Network Usable Information Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos

ECML-PKDD 2023 Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis

NeurIPSW 2022 Conditional Invariances for Conformer Invariant Protein Representations Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Soji Adeshina, Mayank Kakodkar, George Karypis, Bruno Ribeiro

ICLR 2022 Does Your Graph Need a Confidence Boost? Convergent Boosted Smoothing on Graphs with Tabular Node Features Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf

LoG 2022 ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis