alga-hopf / dl-spectral-graph-partitioningLinks
Deep learning and spectral embedding for graph partitioning
☆15Updated 3 years ago
Alternatives and similar repositories for dl-spectral-graph-partitioning
Users that are interested in dl-spectral-graph-partitioning are comparing it to the libraries listed below
Sorting:
- Graph partitioning for distributed GNN training☆14Updated 2 years ago
- Graph Partitoning Using Graph Convolutional Networks☆65Updated 3 years ago
- A Python wrapper around Metis, a graph partitioning package☆189Updated last week
- Multilevel graph coarsening algorithm with spectral and cut guarantees☆92Updated 5 years ago
- VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs☆135Updated last month
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆26Updated 3 years ago
- Planetoid datasets. Consist of Cora, Pubmed, Citeseer, Large_Cora, nell.0.1, nell.0.01, nell.0.001.☆13Updated 6 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆83Updated 3 months ago
- SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization☆11Updated 5 years ago
- ☆96Updated 2 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆103Updated 2 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)☆114Updated 2 years ago
- ☆138Updated 2 years ago
- CIKM2022: source code for "hypergraph learning with line expansion" paper☆20Updated 2 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆310Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆57Updated 2 years ago
- ☆115Updated 4 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆48Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆130Updated last year
- List of papers on ICML2023.☆55Updated 2 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆167Updated 3 weeks ago
- Generative Pre-trained Graph Eulerian Transformer [ICML2025]☆89Updated 3 months ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆156Updated last year
- The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023…☆47Updated 2 years ago
- ☆35Updated 4 months ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆292Updated 8 months ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆61Updated last year
- Graph Coarsening with Neural Networks☆11Updated 3 years ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆218Updated 2 weeks ago