Alternatives and similar repositories for WSDM21-Hands-on-Tutorial

Users that are interested in WSDM21-Hands-on-Tutorial are comparing it to the libraries listed below

• dglai / KDD20-Hands-on-Tutorial
  Scalable Graph Neural Networks with Deep Graph Library
  ☆151Updated 5 years ago
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆72Updated 5 years ago
• twitter-research / sign
  SIGN: Scalable Inception Graph Network
  ☆95Updated 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
• daiquocnguyen / Walk-Transformer
  From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
  ☆42Updated 4 years ago
• zhengdao-chen / GNN4CD
  Supervised community detection with line graph neural networks
  ☆90Updated 5 years ago
• benedekrozemberczki / LabelPropagation
  A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks"…
  ☆125Updated 3 years ago
• urielsinger / tNodeEmbed
  tNodeEmbed
  ☆79Updated 2 years ago
• facebookresearch / SEAL_OGB
  An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
  ☆240Updated 2 years ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆102Updated 3 years ago
• google / gcnn-survey-paper
  ☆174Updated 6 years ago
• snap-stanford / distance-encoding
  Distance Encoding for GNN Design
  ☆188Updated 4 years ago
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• eBay / xFraud
  ☆72Updated 2 years ago
• a-lucic / cf-gnnexplainer
  ☆62Updated 3 years ago
• CUAI / CorrectAndSmooth
  [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)
  ☆294Updated 4 years ago
• divelab / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆68Updated 3 years ago
• TUM-DAML / pprgo_tensorflow
  PPRGo model in TensorFlow 1, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)
  ☆36Updated 3 years ago
• yazdotai / graph-networks
  A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually upd…
  ☆279Updated 6 years ago
• ferencberes / online-node2vec
  Node Embeddings in Dynamic Graphs
  ☆57Updated 3 years ago
• je-dbl / GNN-RecSys
  Graph Neural Networks for Recommender Systems
  ☆297Updated 4 years ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆241Updated 2 months ago
• twitter-research / feature-propagation
  ☆85Updated 3 years ago
• Dru-Mara / EvalNE
  Source code for EvalNE, a Python library for evaluating Network Embedding methods.
  ☆107Updated last week
• gasteigerjo / ppnp
  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
  ☆322Updated last year
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆82Updated 7 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…
  ☆135Updated 5 years ago
• snap-stanford / CAW
  ☆77Updated 3 years ago
• THUDM / MCNS
  Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"
  ☆114Updated 4 years ago
• urielsinger / CTDNE
  Implementation of the CTDNE algorithm.
  ☆20Updated 7 years ago