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Soji Adeshina
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2020 – today
- 2024
- [c6]Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos:
NetInfoF Framework: Measuring and Exploiting Network Usable Information. ICLR 2024 - [i11]Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos:
NetInfoF Framework: Measuring and Exploiting Network Usable Information. CoRR abs/2402.07999 (2024) - [i10]Da Zheng, Xiang Song, Qi Zhu, Jiani Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis:
GraphStorm: all-in-one graph machine learning framework for industry applications. CoRR abs/2406.06022 (2024) - [i9]Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun:
Hierarchical Compression of Text-Rich Graphs via Large Language Models. CoRR abs/2406.11884 (2024) - 2023
- [c5]Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis:
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. ECML/PKDD (3) 2023: 157-173 - [c4]Shichang Zhang
, Jiani Zhang
, Xiang Song
, Soji Adeshina
, Da Zheng
, Christos Faloutsos
, Yizhou Sun
:
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. WWW 2023: 3784-3793 - [i8]Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu:
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR abs/2302.00109 (2023) - [i7]Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun:
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. CoRR abs/2302.12465 (2023) - [i6]Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis:
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. CoRR abs/2304.10668 (2023) - 2022
- [c3]Soji Adeshina, Jian Zhang, Muhyun Kim, Min Chen, Rizal Fathony, Advitiya Vashisht, Jia Chen, George Karypis:
PropInit: Scalable Inductive Initialization for Heterogeneous Graph Neural Networks. ICKG 2022: 6-13 - [c2]Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf:
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features. ICLR 2022 - [c1]Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis:
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. LoG 2022: 35 - [i5]Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis:
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. CoRR abs/2206.04255 (2022) - 2021
- [i4]Jaime D. Acevedo-Viloria, Luisa Roa, Soji Adeshina, Cesar Charalla Olazo, Andrés Rodríguez-Rey, Jose Alberto Ramos, Alejandro Correa Bahnsen:
Relational Graph Neural Networks for Fraud Detection in a Super-App environment. CoRR abs/2107.13673 (2021) - [i3]Cole Hawkins, Vassilis N. Ioannidis, Soji Adeshina, George Karypis:
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation. CoRR abs/2110.06290 (2021) - [i2]Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf:
Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features. CoRR abs/2110.13413 (2021) - [i1]Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Soji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis:
TempoQR: Temporal Question Reasoning over Knowledge Graphs. CoRR abs/2112.05785 (2021)
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last updated on 2024-07-30 20:47 CEST by the dblp team
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