saurabhdash / GCN_Partitioning
Graph Partitoning Using Graph Convolutional Networks
☆62Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for GCN_Partitioning
- Graph Partitioning for Large-scale Graph Datasets☆89Updated 2 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
- Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"☆52Updated 3 months ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆144Updated 6 months ago
- ☆136Updated last year
- an implementation of FastGCN with pytorch☆48Updated 4 years ago
- Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"☆25Updated 5 months ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated last year
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆60Updated 2 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- ☆60Updated last year
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 3 months ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆159Updated 2 years ago
- ☆192Updated 11 months ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆62Updated last year
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆475Updated 2 years ago
- ☆132Updated last year
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding☆113Updated last year
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆20Updated 2 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆92Updated last year
- Codes for TopPPR☆13Updated 5 years ago
- Datasets-for-Heterogeneous-Graph☆126Updated 5 years ago
- The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023…☆42Updated last year
- Implement of DiGCN, NeurIPS-2020☆45Updated 3 years ago
- ☆16Updated 4 years ago
- How Powerful are Spectral Graph Neural Networks☆70Updated 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
- ☆12Updated 3 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆47Updated last year
- FORA: Simple and Effective Approximate Single-Source Personalized Pagerank☆31Updated 3 years ago