Ioannidis, Vassilis N.
- AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
2024/06/17 by Shirley Wu, Shiyu Zhao, Wu, Shirley +17 · 19 citations
Computer Science · #Semantic Web and Ontologies #Data Mining Algorithms and Applications
- STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
2024/04/19 by Shirley Wu, Shiyu Zhao, Wu, Shirley +17 · 14 citations
Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Library Science and Information Systems #Machine Learning (cs.LG) #Natural Language Processing Techniques
- Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
2023/04/20 by Costas Mavromatis, Mavromatis, Costas, Vassilis N. Ioannidis +15 · 4 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
2024/12/20 by Meng-Chieh Lee, Lee, Meng-Chieh, Qi Zhu +13 · 7 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
- A Recurrent Graph Neural Network for Multi-Relational Data
2018/11/05 by Ioannidis, Vassilis N., Marques, Antonio G., Giannakis, Georgios B. · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
2023/06/05 by Xie, Han, Zheng, Da, Ma, Jun +9 · 3 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
2023/10/05 by Wang, Zifeng, Wang, Zichen, Srinivasan, Balasubramaniam +3 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
2022/09/30 by Yulun Wu, Robert A. Barton, Wu, Yulun +13 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Gene expression and cancer classification #Genomics (q-bio.GN) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- GraphSAC: Detecting anomalies in large-scale graphs
2019/10/21 by Ioannidis, Vassilis N., Berberidis, Dimitris, Giannakis, Georgios B. · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Efficient and Stable Graph Scattering Transforms via Pruning
2020/01/27 by Vassilis N. Ioannidis, Siheng Chen, Ioannidis, Vassilis N. +3 · 1 citation
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Graph Theory and Algorithms
- Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing
2020/07/20 by Ioannidis, Vassilis N., Zheng, Da, Karypis, George · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval
2025/06/09 by Ghassel, Abdellah, Robinson, Ian, Tanase, Gabriel +6 · 3 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
- TempoQR: Temporal Question Reasoning over Knowledge Graphs
2021/12/10 by Costas Mavromatis, Prasanna Lakkur Subramanyam, Mavromatis, Costas +13 · 1 citation
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features
2021/10/26 by Chen, Jiuhai, Mueller, Jonas, Ioannidis, Vassilis N. +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
2023/09/25 by Zhu, Jing, Song, Xiang, Ioannidis, Vassilis N. +2 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- Context-Aware Clustering using Large Language Models
2024/05/02 by Tipirneni, Sindhu, Adkathimar, Ravinarayana, Choudhary, Nurendra +5 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #I.2.m #Machine Learning (cs.LG)
- Spectro-Riemannian Graph Neural Networks
2025/02/01 by Karish Grover, Grover, Karish, Haiyang Yu +11 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications