Texas

The 'Texas' dataset is a benchmark used to evaluate the performance of Graph Neural Networks (GNNs) on heterophilic graphs.

Papers using Texas (4)

GMLM: Bridging Graph Neural Networks and Language Models for Heterophilic Node Classification2025 · 1 citesKrawtchoukNet: A Unified GNN Solution for Heterophily and Over-smoothing with Adaptive Bounded Polynomials2025GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning2025Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views2023