cornell-zhang / GraphZoomLinks
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)
☆114Updated 2 years ago
Alternatives and similar repositories for GraphZoom
Users that are interested in GraphZoom are comparing it to the libraries listed below
Sorting:
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆165Updated 3 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆85Updated 4 months ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆137Updated 3 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- ICLR 2021☆48Updated 4 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- ☆38Updated 4 years ago
- ☆96Updated 2 years ago
- Code for our paper "Binary Graph Neural Networks", CVPR 2021☆37Updated 4 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆181Updated 2 years ago
- Stochastic training of graph convolutional networks☆84Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 3 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"☆27Updated 4 years ago
- ☆16Updated 5 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 5 years ago
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆26Updated 3 years ago
- ☆16Updated 3 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 4 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆190Updated 3 years ago
- A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.☆24Updated 6 years ago
- Graph Partitoning Using Graph Convolutional Networks☆66Updated 3 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆35Updated 4 years ago
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time (ICLR'24)☆44Updated last year
- Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"☆91Updated 6 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago