large-scale graph

MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection IJCAI 2025 An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs AAAI 2024 Learning on Large Graphs using Intersecting Communities NeurIPS 2024 GOAT: A Global Transformer on Large-scale Graphs ICML 2023 Hierarchical Transformer for Scalable Graph Learning IJCAI 2023 LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation ICML 2023 Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT NeurIPS 2023 NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs ICLR 2023 SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations NeurIPS 2023 Large-Scale Graph Neural Architecture Search ICML 2022 Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks IJCAI 2021 GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings ICML 2021 Marius: Learning Massive Graph Embeddings on a Single Machine OSDI 2021 P3: Distributed Deep Graph Learning at Scale OSDI 2021 Scalable Graph Neural Networks via Bidirectional Propagation NeurIPS 2020 A Reduction based Method for Coloring Very Large Graphs IJCAI 2017