Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. - Konstantinos D. Polyzos; Costas Mavromatis; Vassilis N. Ioannidis; Georgios B. Giannakis (ACSSC, 2020)

Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning. - Costas Mavromatis; George Karypis (CoRR, 2020)

Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs. - Costas Mavromatis; George Karypis (PAKDD (1), 2021)

HeMI: Multi-view Embedding in Heterogeneous Graphs. - Costas Mavromatis; George Karypis (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)

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 (AAAI, 2022)

ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs. - Costas Mavromatis; George Karypis (EMNLP (Findings), 2022)

Global and Nodal Mutual Information Maximization in Heterogeneous Graphs. - Costas Mavromatis; George Karypis (ICASSP, 2023)

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)

Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection. - Costas Mavromatis; Balasubramaniam Srinivasan; Zhengyuan Shen; Jiani Zhang 003; Huzefa Rangwala; Christos Faloutsos; George Karypis (CoRR, 2023)

CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage. - Costas Mavromatis; Balasubramaniam Srinivasan; Zhengyuan Shen; Jiani Zhang 003; Huzefa Rangwala; Christos Faloutsos; George Karypis (EMNLP, 2024)

SemPool: Simple, Robust, and Interpretable KG Pooling for Enhancing Language Models. - Costas Mavromatis; Petros Karypis; George Karypis (PKDD (4), 2024)

Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization. - Costas Mavromatis; Petros Karypis; George Karypis (CoRR, 2024)

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning. - Costas Mavromatis; George Karypis (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)

GNN-RAG: Graph Neural Retrieval for Efficient Large Language Model Reasoning on Knowledge Graphs. - Costas Mavromatis; George Karypis (ACL (Findings), 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)