Alternatives and similar repositories for Permutation-FlowShop-Problem

Users that are interested in Permutation-FlowShop-Problem are comparing it to the libraries listed below

• zen1995 / dispatch-demo
  ☆10Updated last month
• willyfh / graph-transformer
  An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classificat…
  ☆33Updated last year
• mkrzywda / GraphTransformers
  Sandbox to analysis and benchmarking Graph Transformer Neural Networks
  ☆35Updated 2 years ago
• skepsun / Adaptive-Graph-Diffusion-Networks
  ☆49Updated 8 months ago
• ZhihaoPENG-CityU / MM21---AGCN
  The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.
  ☆35Updated 11 months ago
• davidireland3 / LeNSE
  ☆14Updated 2 years ago
• yang-han / P-reg
  Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
  ☆34Updated 4 years ago
• snudatalab / SVGA
  Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)
  ☆19Updated 2 years ago
• yanghu819 / Graph-MLP
  ☆77Updated 4 years ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆88Updated 3 years ago
• ZhiningLiu1998 / BAT
  [ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类
  ☆25Updated 8 months ago
• uestc-lese / SPGRL
  ☆17Updated 2 years ago
• junxia97 / ProGCL
  [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
  ☆45Updated 3 years ago
• zetayue / CPA
  Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)
  ☆17Updated last year
• seongjunyun / Neo-GNNs
  Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
  ☆38Updated 3 years ago
• shamim-hussain / egt
  Edge-Augmented Graph Transformer
  ☆50Updated 3 years ago
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆33Updated 3 years ago
• Davidham3 / deeper_insights_into_GCNs
  Deeper insights into graph convolutional networks for semi-supervised learning
  ☆19Updated 6 years ago
• alge24 / ADA-UGNN
  A Unified View on Graph Neural Networks as Graph Signal Denoising
  ☆9Updated 3 years ago
• jindi-tju / MRFasGCN
  This is a TensorFlow implementation of MRFasGCN for the task of semi-supervised community detection.
  ☆10Updated 4 years ago
• Erfaan-Rostami / Hypergraph-and-Graph-Neural-Network-HGNN-GNN--
  Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecul…
  ☆55Updated last year
• yuwvandy / G2GNN
  ☆46Updated 2 years ago
• RingBDStack / ACE-HGNN
  Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”
  ☆17Updated 3 years ago
• xiangwang1223 / reinforced_causal_explainer
  Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
  ☆36Updated 3 years ago
• HarryShomer / LPFormer
  Implementation of the KDD'24 paper "LPFormer: An Adaptive Graph Transformer for Link Prediction"
  ☆25Updated 2 months ago
• asarigun / GraphMixerNetworks
  Official Implementation of Graph Mixer Networks
  ☆20Updated last year
• zwt233 / AIR
  ☆4Updated 2 years ago
• NSLab-CUK / Unified-Graph-Transformer
  Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…
  ☆27Updated 3 weeks ago
• Namkyeong / BGRL_Pytorch
  Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
  ☆81Updated 3 years ago
• hncuong / IM
  Code for Influence Maximization Problem
  ☆29Updated 7 years ago