papers

Publications (17)

cs.LG2026

Train Less, Learn More: Adaptive Efficient Rollout Optimization for Group-Based Reinforcement Learning

Zhi Zhang, Zhen Han, Costas Mavromatis +9

cs.LG2024

GraphStorm: all-in-one graph machine learning framework for industry applications

Da Zheng, Xiang Song, Qi Zhu +13

cs.IR2025

Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval

Abdellah Ghassel, Ian Robinson, Gabriel Tanase +6

cs.LG2024

NetInfoF Framework: Measuring and Exploiting Network Usable Information

Meng-Chieh Lee, Haiyang Yu, Jian Zhang +5

cs.LG2022

Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features

Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis +4

cs.CL2021

TempoQR: Temporal Question Reasoning over Knowledge Graphs

Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis +5

cs.LG2025

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

Meng-Chieh Lee, Qi Zhu, Costas Mavromatis +5

cs.LG2026

Consensus is Not Verification: Why Crowd Wisdom Strategies Fail for LLM Truthfulness

Yegor Denisov-Blanch, Joshua Kazdan, Jessica Chudnovsky +4

cs.LG2023

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction

Shichang Zhang, Jiani Zhang, Xiang Song +4

cs.LG2023

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs

Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang +6

cs.LG2023

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization

Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis +7

cs.LG2021

Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation

Cole Hawkins, Vassilis N. Ioannidis, Soji Adeshina +1

cs.CL2026

Scalable Prompt Routing via Fine-Grained Latent Task Discovery

Yunyi Zhang, Soji Adeshina, Sheng Guan +5

cs.SI2024

Hierarchical Compression of Text-Rich Graphs via Large Language Models

Shichang Zhang, Da Zheng, Jiani Zhang +6

cs.LG2021

Relational Graph Neural Networks for Fraud Detection in a Super-App environment

Jaime D. Acevedo-Viloria, Luisa Roa, Soji Adeshina +4

cs.LG2022

ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning

Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina +3

cs.CL2025

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

Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis +6