mcavus / Kernighan-LinLinks
Implementation of Kernighan-Lin graph partitioning algorithm in Python
☆50Updated 6 years ago
Alternatives and similar repositories for Kernighan-Lin
Users that are interested in Kernighan-Lin are comparing it to the libraries listed below
Sorting:
- Graph Partitoning Using Graph Convolutional Networks☆67Updated 3 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)☆114Updated 2 years ago
- ☆144Updated 4 years ago
- Stochastic training of graph convolutional networks☆84Updated 3 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆502Updated 3 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆105Updated last year
- ☆365Updated last year
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Distance Encoding for GNN Design☆188Updated 4 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆182Updated 2 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 5 years ago
- ☆96Updated 2 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- ☆25Updated 5 years ago
- Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"☆91Updated 6 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", [1] in Pytorch☆35Updated 8 years ago
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆155Updated last year
- A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)☆79Updated 6 years ago
- Source code for paper "Prioritized Restreaming Algorithms for Balanced Graph Partitioning".☆14Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆75Updated 3 years ago
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆26Updated 3 years ago
- KDD Course Project - Implementation of Community Detection Algorithms and Evaluations and Some Datasets (港科博一时候KDD课程作业) - by Shixuan Sun …☆42Updated 7 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Updated 3 years ago
- tensorflow-as-gcn☆89Updated 6 years ago
- Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.☆164Updated 5 years ago
- This repository contains research into the use of graph partitioning algorithms for assigning people shelters based on their social netwo…☆18Updated 6 years ago
- An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)☆133Updated 3 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated 2 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago