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"
  ☆1,391Updated 6 months ago
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆291Updated 7 months ago
• GraphDetec / MGTAB
  A Multi-relational Graph-Based Twitter Account Detection Benchmark
  ☆57Updated last year
• SXKDZ / awesome-self-supervised-learning-for-graphs
  A curated list for awesome self-supervised learning for graphs.
  ☆379Updated 2 years ago
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆166Updated last year
• JhuoW / GraLSP_pytorch
  PyTorch Reimplementation of AAAI2020 paper "GraLSP: Graph Neural Networks with Local Structural Patterns"
  ☆11Updated 3 years ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆134Updated 2 years ago
• qcydm / VGAER
  Simple and efficient -- a novel unsupervised community detection with the fusion of modularity and network structure
  ☆103Updated 2 months ago
• SpaceLearner / Awesome-DynamicGraphLearning
  Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
  ☆624Updated 2 months ago
• flyingdoog / PGExplainer
  Parameterized Explainer for Graph Neural Network
  ☆130Updated last year
• TimeLovercc / Awesome-Graph-Causal-Learning
  A list of Graph Causal Learning materials.
  ☆191Updated last month
• kepsail / ie-HGCN
  Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021
  ☆102Updated 3 months ago
• mengliu1998 / awesome-deep-gnn
  Papers about developing deep Graph Neural Networks (GNNs)
  ☆302Updated last year
• logseminar / Schedule
  Schedule for learning on graphs seminar
  ☆110Updated last year
• bdy9527 / FAGCN
  ☆95Updated 3 years ago
• THUDM / GRAND
  Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
  ☆209Updated last year
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• BUPT-GAMMA / Graph-Structure-Estimation-Neural-Networks
  Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"
  ☆58Updated 3 years ago
• pcy1302 / DMGI
  Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
  ☆148Updated last year
• jianhao2016 / GPRGNN
  ☆131Updated last year
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆309Updated 7 months ago
• ChandlerBang / Pro-GNN
  Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
  ☆290Updated last year
• liun-online / HeCo
  The source code of HeCo
  ☆159Updated 2 years ago
• Cantoria / dynamic-graph-papers
  Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph
  ☆438Updated last year
• AndyJZhao / HGSL
  Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks
  ☆115Updated 2 years ago
• JinheonBaek / RGCN
  Pytorch implementation of a RGCN Link Prediction Model
  ☆245Updated 3 years ago
• zhao-tong / GAug
  AAAI'21: Data Augmentation for Graph Neural Networks
  ☆189Updated 10 months ago
• flyingdoog / PTDNet
  Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
  ☆77Updated 3 years ago
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆79Updated 3 months ago