4 papers · 1 filter
BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering
Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis +6
Knowledge graph question answering (KGQA) presents significant challenges due to the structural and semantic variations across input graphs. Existing works rely on Large Language M…
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
Costas Mavromatis, George Karypis
Knowledge Graphs (KGs) represent human-crafted factual knowledge in the form of triplets (head, relation, tail), which collectively form a graph. Question Answering over KGs (KGQA)…
Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization
Costas Mavromatis, Petros Karypis, George Karypis
Fusing knowledge from multiple Large Language Models (LLMs) can combine their diverse strengths to achieve improved performance on a given task. However, current fusion approaches…
SemPool: Simple, robust, and interpretable KG pooling for enhancing language models
Costas Mavromatis, Petros Karypis, George Karypis
Knowledge Graph (KG) powered question answering (QA) performs complex reasoning over language semantics as well as knowledge facts. Graph Neural Networks (GNNs) learn to aggregate…