saurabhdash / GCN_PartitioningLinks
Graph Partitoning Using Graph Convolutional Networks
β65Updated 3 years ago
Alternatives and similar repositories for GCN_Partitioning
Users that are interested in GCN_Partitioning are comparing it to the libraries listed below
Sorting:
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, π Best Student Paper Award)β154Updated last year
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards aβ¦β83Updated last month
- Graph Partitioning for Large-scale Graph Datasetsβ97Updated 3 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embeddingβ114Updated 2 years ago
- β138Updated last year
- β52Updated 2 weeks ago
- Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"β54Updated 11 months ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Lβ¦β490Updated 2 years ago
- β210Updated last year
- [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"β71Updated last month
- β60Updated 2 years ago
- Code of GAMLP for Open Graph Benchmark. KDDβ22β62Updated 3 years ago
- A software package for one-pass Vertex-cut balanced Graph Partitioning.β31Updated 9 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphsβ72Updated 4 years ago
- Graph partitioning for distributed GNN trainingβ14Updated 2 years ago
- In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luoβ157Updated last year
- β16Updated 3 years ago
- The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023β¦β46Updated 2 years ago
- Code for monograph "Cohesive Subgraph Computation over Large Sparse Graphs"β26Updated 3 years ago
- A DGL implementation of "DeeperGCN: All You Need to Train Deeper GCNs".β9Updated 4 years ago
- β13Updated 4 years ago
- Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"β28Updated last year
- A list of awesome GNN systems.β320Updated this week
- an implementation of FastGCN with pytorchβ51Updated 4 years ago
- Implementation of Kernighan-Lin graph partitioning algorithm in Pythonβ50Updated 6 years ago
- Distributed Deep Graph Learning Framework for Dynamic Graphsβ14Updated last year
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"β100Updated last year
- G3: A Programmable GNN Training System on GPUβ43Updated 4 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classificaβ¦β310Updated last year
- β135Updated last year