17 citations · 17 across the 3 of their papers we have counts for
7 papers
DBRAG: Multi-Table Retrieval-Augmented Generation for Complex Database Queries
Prince Larbi Ampofo, Ryoji Kubo, Djellel Difallah
Recent advancements in large language models have introduced new capabilities for reasoning over structured data, particularly through program-aided tools that can analyze tables.…
Explore-over-Graph: Hybrid Embedding-LLM Reasoning for Knowledge Graph Question Answering under Incompleteness
Ola El Khatib, Djellel Difallah
Large language models (LLMs) are increasingly combined with knowledge graphs (KGs) to ground reasoning in structured evidence. However, most LLM-based KGQA methods rely on traversi…
UniST-Pred: A Robust Unified Framework for Spatio-Temporal Traffic Forecasting in Transportation Networks Under Disruptions
Yue Wang, Areg Karapetyan, Djellel Difallah +1
Spatio-temporal traffic forecasting is a core component of intelligent transportation systems, supporting various downstream tasks such as signal control and network-level traffic…
RAW-Explainer: Post-hoc Explanations of Path Reasoning Graph Neural Networks for Knowledge Graph Completion
Ryoji Kubo, Djellel Difallah, Samyam Lamichhane
Path reasoning graph neural networks have demonstrated state-of-the-art performance on knowledge graph completion tasks such as link prediction. However, interpreting their predict…
MLaGA: Multimodal Large Language and Graph Assistant
Dongzhe Fan, Yi Fang, Jiajin Liu +2
Large Language Models (LLMs) have demonstrated substantial efficacy in advancing graph-structured data analysis. Prevailing LLM-based graph methods excel in adapting LLMs to text-r…
A Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach
Martin Gerlach, Marshall Miller, Rita Ho +2
Hyperlinks constitute the backbone of the Web; they enable user navigation, information discovery, content ranking, and many other crucial services on the Internet. In particular,…