Soji Adeshina

29 papers A* 5A 1Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Consensus is Not Verification: Why Crowd Wisdom Strategies Fail for LLM Truthfulness.
CoRR
Yegor Denisov-Blanch, Joshua Kazdan, Jessica Chudnovsky, Rylan Schaeffer, Sheng Guan, Soji Adeshina, Sanmi Koyejo
2026 J jnl
Scalable Prompt Routing via Fine-Grained Latent Task Discovery.
CoRR
Yunyi Zhang, Soji Adeshina, Sheng Guan, Ashwin Ganesh, Zhen Han, Vassilis N. Ioannidis, Huzefa Rangwala, George Karypis
2026 J jnl
Train Less, Learn More: Adaptive Efficient Rollout Optimization for Group-Based Reinforcement Learning.
CoRR
Zhi Zhang, Zhen Han, Costas Mavromatis, Qi Zhu, Yunyi Zhang, Sheng Guan, Dingmin Wang, Xiong Zhou, Shuai Wang, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala
2025 A* conf
BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering.
EMNLP
Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis
2025 J jnl
BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering.
CoRR
Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis
2025 — conf
Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval.
KDD (2)
Abdellah Ghassel, Ian Robinson, Gabriel Tanase, Hal Cooper, Bryan Thompson, Zhen Han, Vassilis N. Ioannidis, Soji Adeshina, Huzefa Rangwala
2025 J jnl
Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval.
CoRR
Abdellah Ghassel, Ian Robinson, Gabriel Tanase, Hal Cooper, Bryan Thompson, Zhen Han, Vassilis N. Ioannidis, Soji Adeshina, Huzefa Rangwala
2025 — conf
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases.
ACL (1)
Meng-Chieh Lee, Qi Zhu, Costas Mavromatis, Zhen Han, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala, Christos Faloutsos
2025 — conf
SKnow-LLM Workshop: Structured Knowledge for Large Language Models.
KDD (2)
Qi Zhu, Xiusi Chen, Yu Zhang, Soji Adeshina, Costas Mavromatis, Zhen Han, Vassilis N. Ioannidis, Leman Akoglu, Danai Koutra, Huzefa Rangwala
2024 A* conf
GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications.
KDD
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
2024 J jnl
GraphStorm: all-in-one graph machine learning framework for industry applications.
CoRR
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
2024 J jnl
Hierarchical Compression of Text-Rich Graphs via Large Language Models.
CoRR
Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun
2024 J jnl
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases.
CoRR
Meng-Chieh Lee, Qi Zhu, Costas Mavromatis, Zhen Han, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala, Christos Faloutsos
2024 A* conf
NetInfoF Framework: Measuring and Exploiting Network Usable Information.
ICLR
Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos
2024 J jnl
NetInfoF Framework: Measuring and Exploiting Network Usable Information.
CoRR
Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos
2024 A conf
Revisit Orthogonality in Graph-Regularized MLPs.
CIKM
Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2023 J jnl
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization.
CoRR
Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2023 A* conf
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.
WWW
Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
2023 J jnl
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.
CoRR
Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
2023 — conf
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs.
ECML/PKDD (3)
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
2023 J jnl
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs.
CoRR
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
2022 A* conf
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features.
ICLR
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf
2022 — conf
PropInit: Scalable Inductive Initialization for Heterogeneous Graph Neural Networks.
ICKG
Soji Adeshina, Jian Zhang, Muhyun Kim, Min Chen, Rizal Fathony, Advitiya Vashisht, Jia Chen, George Karypis
2022 — conf
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning.
LoG
Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis
2022 J jnl
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning.
CoRR
Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis
2021 J jnl
Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features.
CoRR
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf
2021 J jnl
Relational Graph Neural Networks for Fraud Detection in a Super-App environment.
CoRR
Jaime D. Acevedo-Viloria, Luisa Roa, Soji Adeshina, Cesar Charalla Olazo, Andrés Rodríguez-Rey, Jose Alberto Ramos, Alejandro Correa Bahnsen
2021 J jnl
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation.
CoRR
Cole Hawkins, Vassilis N. Ioannidis, Soji Adeshina, George Karypis
2021 J jnl
TempoQR: Temporal Question Reasoning over Knowledge Graphs.
CoRR
Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Soji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis