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Soji Adeshina
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 18
Top Topics
Graph Data
Neural Network
Graph Representation
Random Walk
Top Venues
CoRR
ICLR
LoG
KDD
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Publications
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Da Zheng
,
Xiang Song
,
Qi Zhu
,
Jian 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.
KDD
(2024)
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)
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
(2024)
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
(2024)
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
(2024)
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)
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
(2023)
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
(2023)
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)
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
(2023)
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)
Zhenwei Dai
,
Vasileios Ioannidis
,
Soji Adeshina
,
Zak Jost
,
Christos Faloutsos
,
George Karypis
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning.
CoRR
(2022)
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)
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)
Cole Hawkins
,
Vassilis N. Ioannidis
,
Soji Adeshina
,
George Karypis
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation.
CoRR
(2021)
Costas Mavromatis
,
Prasanna Lakkur Subramanyam
,
Vassilis N. Ioannidis
,
Soji Adeshina
,
Phillip R. Howard
,
Tetiana Grinberg
,
Nagib Hakim
,
George Karypis
TempoQR: Temporal Question Reasoning over Knowledge Graphs.
CoRR
(2021)
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
(2021)
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
(2021)