cornell-zhang / GraphZoom
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
☆113Updated last year
Related projects ⓘ
Alternatives and complementary repositories for GraphZoom
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated last year
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 3 months ago
- Stochastic training of graph convolutional networks☆85Updated 2 years ago
- ☆15Updated 2 years ago
- NeurIPS 2021: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectu…☆133Updated 2 years ago
- Code for our paper "Binary Graph Neural Networks", CVPR 2021☆37Updated 3 years ago
- LazyGCN☆9Updated 4 years ago
- GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks☆35Updated last year
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆63Updated last year
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 3 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆76Updated 2 months ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆159Updated 2 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆51Updated 4 years ago
- ICLR 2021☆44Updated 3 years ago
- tensorflow-as-gcn☆92Updated 5 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Distance Encoding for GNN Design☆183Updated 3 years ago
- PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"☆25Updated 4 years ago
- SIGN: Scalable Inception Graph Network☆94Updated 4 years ago
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time☆36Updated 7 months ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 2 years ago
- ☆62Updated 4 years ago
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆32Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆154Updated 2 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆175Updated last year
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆127Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆70Updated 2 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆192Updated 8 months ago