Alternatives and similar repositories for awesome-graph-representation-learning

Users that are interested in awesome-graph-representation-learning are comparing it to the libraries listed below

• JhuoW / AdaGCN
  reproduce ICLR2021 paper "AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models"
  ☆18Updated 2 years ago
• LirongWu / awesome-graph-self-supervised-learning
  Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
  ☆1,408Updated 10 months ago
• GraphDetec / MGTAB
  A Multi-relational Graph-Based Twitter Account Detection Benchmark
  ☆60Updated 2 years ago
• qcydm / VGAER
  Simple and efficient -- a novel unsupervised community detection with the fusion of modularity and network structure
  ☆104Updated 6 months ago
• JhuoW / GraLSP_pytorch
  PyTorch Reimplementation of AAAI2020 paper "GraLSP: Graph Neural Networks with Local Structural Patterns"
  ☆11Updated 3 years ago
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• LirongWu / KDGA
  Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks"
  ☆200Updated last year
• THUMNLab / awesome-auto-graph-learning
  A paper collection about automated graph learning
  ☆96Updated last year
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆166Updated 2 years ago
• Radical3-HeZhang / Awesome-Trustworthy-GNNs
  ☆98Updated 11 months ago
• logseminar / Schedule
  Schedule for learning on graphs seminar
  ☆109Updated last year
• eaglelab-zju / DGLD
  Deep Graph Outlier Detection
  ☆66Updated last year
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆57Updated 4 years ago
• kaize0409 / awesome-graph-data-augmentaion
  A curated list of publications and code about data augmentaion for graphs.
  ☆63Updated 3 years ago
• mengliu1998 / awesome-deep-gnn
  Papers about developing deep Graph Neural Networks (GNNs)
  ☆302Updated 2 years ago
• zhao-tong / GAug
  AAAI'21: Data Augmentation for Graph Neural Networks
  ☆193Updated last year
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆65Updated last year
• zpeng27 / GMI
  Graph Representation Learning via Graphical Mutual Information Maximization
  ☆116Updated 5 years ago
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆295Updated 11 months ago
• AndyJZhao / HGSL
  Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks
  ☆117Updated 2 years ago
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆76Updated 9 months ago
• Skyorca / Awesome-Graph-Domain-Adaptation-Papers
  Published papers focusing on graph domain adaptation, with survey paper online as Domain Adaptation for Graph Representation Learning: Ch…
  ☆44Updated 2 months ago
• qitianwu / GraphOOD-EERM
  The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
  ☆89Updated 2 years ago
• yanghu819 / Graph-MLP
  ☆76Updated 3 years ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆139Updated 2 years ago
• ihollywhy / FactorGCN.PyTorch
  Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20
  ☆51Updated 4 years ago
• mims-harvard / SubGNN
  Subgraph Neural Networks (NeurIPS 2020)
  ☆200Updated 4 years ago
• zixun-lan / AEDNet-Adaptive-Edge-Deleting-Network-For-Subgraph-Matching
  Neural Subgraph Matching Paper: "AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching". [Neural-Subgraph-Matching Method For Lear…
  ☆54Updated 2 years ago
• EdisonLeeeee / GreatX
  A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
  ☆85Updated 8 months ago