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)

Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation. - Cole Hawkins; Vassilis N. Ioannidis; Soji Adeshina; George Karypis (CoRR, 2021)

Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features. - Jiuhai Chen; Jonas Mueller 001; Vassilis N. Ioannidis; Soji Adeshina; Yangkun Wang; Tom Goldstein; David Wipf (CoRR, 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)

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 (ICKG, 2022)

Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features. - Jiuhai Chen; Jonas Mueller 001; Vassilis N. Ioannidis; Soji Adeshina; Yangkun Wang; Tom Goldstein; David Wipf (ICLR, 2022)

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

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. - Costas Mavromatis; Vassilis N. Ioannidis; Shen Wang 005; Da Zheng; Soji Adeshina; Jun Ma 029; Han Zhao 002; Christos Faloutsos; George Karypis (ECML/PKDD (3), 2023)

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. - Shichang Zhang; Jiani Zhang 003; Xiang Song 003; Soji Adeshina; Da Zheng; Christos Faloutsos; Yizhou Sun (WWW, 2023)

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. - Hengrui Zhang; Shen Wang 005; Vassilis N. Ioannidis; Soji Adeshina; Jiani Zhang 003; Xiao Qin 003; Christos Faloutsos; Da Zheng; George Karypis; Philip S. Yu (CoRR, 2023)

Revisit Orthogonality in Graph-Regularized MLPs. - Hengrui Zhang; Shen Wang 005; Vassilis N. Ioannidis; Soji Adeshina; Jiani Zhang 003; Xiao Qin 003; Christos Faloutsos; Da Zheng; George Karypis; Philip S. Yu (CIKM, 2024)

NetInfoF Framework: Measuring and Exploiting Network Usable Information. - Meng-Chieh Lee; Haiyang Yu; Jian Zhang; Vassilis N. Ioannidis; Xiang Song 003; Soji Adeshina; Da Zheng; Christos Faloutsos (ICLR, 2024)

GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. - Da Zheng; Xiang Song 003; Qi Zhu 008; Jian Zhang; Theodore Vasiloudis; Runjie Ma; Houyu Zhang; Zichen Wang 002; Soji Adeshina; Israt Nisa; Alejandro Mottini; Qingjun Cui; et al. (KDD, 2024)

GraphStorm: all-in-one graph machine learning framework for industry applications. - Da Zheng; Xiang Song 003; Qi Zhu 008; Jiani Zhang 003; Theodore Vasiloudis; Runjie Ma; Houyu Zhang; Zichen Wang 002; Soji Adeshina; Israt Nisa; Alejandro Mottini; Qingjun Cui; et al. (CoRR, 2024)

Hierarchical Compression of Text-Rich Graphs via Large Language Models. - Shichang Zhang; Da Zheng; Jiani Zhang 003; Qi Zhu 008; Xiang Song 003; Soji Adeshina; Christos Faloutsos; George Karypis; Yizhou Sun (CoRR, 2024)

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases. - Meng-Chieh Lee; Qi Zhu 008; Costas Mavromatis; Zhen Han; Soji Adeshina; Vassilis N. Ioannidis; Huzefa Rangwala; Christos Faloutsos (ACL (1), 2025)

Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval. - Abdellah Ghassel; Ian Robinson; Gabriel Tanase; Hal Cooper; Bryan Thompson 001; Zhen Han; Vassilis N. Ioannidis; Soji Adeshina; Huzefa Rangwala (CoRR, 2025)

BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. - Costas Mavromatis; Soji Adeshina; Vassilis N. Ioannidis; Zhen Han; Qi Zhu 008; Ian Robinson; Bryan Thompson 001; Huzefa Rangwala; George Karypis (CoRR, 2025)