Alternatives and similar repositories for Walk-Transformer

Users that are interested in Walk-Transformer are comparing it to the libraries listed below

• YimiAChack / GraphSTONE
  An implementation of "Graph Structural-topic Neural Network"
  ☆72Updated 4 years ago
• urielsinger / tNodeEmbed
  tNodeEmbed
  ☆79Updated 2 years ago
• YuxiangRen / Heterogeneous-Deep-Graph-Infomax
  HDGI code
  ☆62Updated 5 years ago
• TUM-DAML / pprgo_pytorch
  PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)
  ☆126Updated 3 years ago
• snap-stanford / distance-encoding
  Distance Encoding for GNN Design
  ☆186Updated 4 years ago
• pcy1302 / DMGI
  Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
  ☆149Updated 2 years ago
• thiviyanT / torch-rgcn
  A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
  ☆127Updated 3 years ago
• joeybose / Meta-Graph
  Meta-Learning for Few Shot Link Prediction
  ☆49Updated 4 years ago
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆133Updated 4 years ago
• twitter-research / sign
  SIGN: Scalable Inception Graph Network
  ☆96Updated 4 years ago
• caojiangxia / BiGI
  [WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization
  ☆76Updated 4 years ago
• facebookresearch / SEAL_OGB
  An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
  ☆235Updated 2 years ago
• guillaumejaume / edGNN
  Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"
  ☆43Updated 2 years ago
• divelab / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆69Updated 2 years ago
• THUDM / MCNS
  Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"
  ☆113Updated 4 years ago
• daiquocnguyen / Caps2NE
  A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
  ☆24Updated 4 years ago
• hugochan / IDGL
  Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…
  ☆231Updated 2 years ago
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• mengliu1998 / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆155Updated 2 years ago
• zhengdao-chen / GNN4CD
  Supervised community detection with line graph neural networks
  ☆89Updated 4 years ago
• malllabiisc / ASAP
  AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
  ☆100Updated 5 years ago
• pykeen / ilpc2022
  🏅 KG Inductive Link Prediction Challenge (ILPC) 2022
  ☆85Updated 3 years ago
• junwu6 / DEMO-Net
  DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
  ☆28Updated 4 years ago
• KaiyuanZh / awesome-graph-representation-learning
  A curated list of awesome graph representation learning.
  ☆69Updated 4 years ago
• THUDM / GRAND
  Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
  ☆211Updated 2 years ago
• acbull / HGT-DGL
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)
  ☆75Updated 2 years ago
• lienwc / DKGE
  This is the source code of DKGE.
  ☆26Updated 2 years ago
• daiquocnguyen / QuatRE
  QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings (TheWebConf WWW 2022) (Pytorch)
  ☆38Updated 3 years ago
• zhao-tong / GNNs-easy-to-use
  An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.
  ☆62Updated 5 years ago
• ChandlerBang / SelfTask-GNN
  Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
  ☆97Updated 2 years ago