VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024 https://arxiv.org/pdf/2403.16030 How to run Place datasets into "dataset" folder Reddit, Aminer, and Amazon2M are here, they can also be traced from the original source here. Squirrel and Actor are here, they can also be traced from the DGL. Other datasets are built in the library and can be directly accessed through our code. Commands are in "demo.txt" Dependencies are in "environment.yml". Major libraries are below. dgl == 0.9.1 torch == 2.0.1 torch-geometric == 2.3.1 torch-scatter == 2.1.1 torch-sparse == 0.6.17 Codebase Acknowledgment NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Influence-Based Mini-Batching for Graph Neural Networks GRAND+: Scalable Graph Random Neural Networks Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
