Costas Mavromatis

According to our database, Costas Mavromatis authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

2025

BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering.

Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis

CoRR, July, 2025

GNN-RAG: Graph Neural Retrieval for Efficient Large Language Model Reasoning on Knowledge Graphs.

Costas Mavromatis, George Karypis

Proceedings of the Findings of the Association for Computational Linguistics, 2025

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases.

Meng-Chieh Lee, Qi Zhu, Costas Mavromatis, Zhen Han, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala, Christos Faloutsos

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning.

Costas Mavromatis, George Karypis

CoRR, 2024

Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization.

Costas Mavromatis, Petros Karypis, George Karypis

CoRR, 2024

SemPool: Simple, Robust, and Interpretable KG Pooling for Enhancing Language Models.

Costas Mavromatis, Petros Karypis, George Karypis

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage.

Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection.

Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis

CoRR, 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

Global and Nodal Mutual Information Maximization in Heterogeneous Graphs.

Costas Mavromatis, George Karypis

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs.

Costas Mavromatis, George Karypis

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

TempoQR: Temporal Question Reasoning over Knowledge Graphs.

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 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

HeMI: Multi-view Embedding in Heterogeneous Graphs.

Costas Mavromatis, George Karypis

CoRR, 2021

Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs.

Costas Mavromatis, George Karypis

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning.

Costas Mavromatis, George Karypis

CoRR, 2020

Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks.

Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020