Soji Adeshina

According to our database, Soji Adeshina authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

2023

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization.

Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu

CoRR, 2023

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.

Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun

Proceedings of the ACM Web Conference 2023, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning.

Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis

Proceedings of the Learning on Graphs Conference, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

PropInit: Scalable Inductive Initialization for Heterogeneous Graph Neural Networks.

Soji Adeshina, Jian Zhang, Muhyun Kim, Min Chen, Rizal Fathony, Advitiya Vashisht, Jia Chen, George Karypis

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

2021

TempoQR: Temporal Question Reasoning over Knowledge Graphs.

Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Soji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis

CoRR, 2021

Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features.

Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf

CoRR, 2021

Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation.

Cole Hawkins, Vassilis N. Ioannidis, Soji Adeshina, George Karypis

CoRR, 2021

Relational Graph Neural Networks for Fraud Detection in a Super-App environment.

Jaime D. Acevedo-Viloria, Luisa Roa, Soji Adeshina, Cesar Charalla Olazo, Andrés Rodríguez-Rey, Jose Alberto Ramos, Alejandro Correa Bahnsen

CoRR, 2021