Michalis Vazirgiannis

Centrality Graph Shift Operators for Graph Neural Networks

Cell2Text: Multimodal LLM for Generating Single-Cell Descriptions from RNA-Seq Data

Markovian Generation Chains in Large Language Models

Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs

Refining Heuristic-Based Bitcoin Address Clustering with Graph Neural Networks

YaPO: Learnable Sparse Activation Steering Vectors for Domain Adaptation

Graph Linearization Methods for Reasoning on Graphs with Large Language Models

Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment

Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation

Prediction Via Shapley Value Regression

Gaussian Mixture Models Based Augmentation Enhances GNN Generalization

Prediction via Shapley Value Regression

Adversarially Robust Graph Classification: A Pooling-Based Defense Framework

Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields

ADMP-GNN: Adaptive Depth Message Passing GNN

Centrality Graph Shift Operators for Graph Neural Networks