Alternatives and similar repositories for TopPPR:

Users that are interested in TopPPR are comparing it to the libraries listed below

• wangsibovictor / fora
  FORA: Simple and Effective Approximate Single-Source Personalized Pagerank
  ☆31Updated 4 years ago
• wuhao-wu-jiang / Personalized-PageRank
  ☆13Updated 3 years ago
• HKUST-KnowComp / NeuralSubgraphCounting
  Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"
  ☆53Updated 6 months ago
• yinyuan1227 / STRAP-git
  ☆15Updated 4 years ago
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆72Updated 4 years ago
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆134Updated last year
• acbull / LADIES
  Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
  ☆76Updated 2 years ago
• WangXuhongCN / APAN
  ☆61Updated 2 years ago
• zexihuang / random-walk-embedding
  A Broader Picture of Random-walk Based Graph Embedding
  ☆30Updated 3 years ago
• Jhy1993 / Datasets-for-Heterogeneous-Graph
  Datasets-for-Heterogeneous-Graph
  ☆127Updated 5 years ago
• kfoynt / LocalGraphClustering
  ☆137Updated 3 years ago
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆61Updated 2 years ago
• amazon-science / tgl
  ☆198Updated last year
• thu-ml / stochastic_gcn
  Stochastic training of graph convolutional networks
  ☆85Updated 2 years ago
• mengyangniu / ogbn-papers100m-sage
  ☆13Updated 3 years ago
• xptree / LightNE
  ☆24Updated 2 years ago
• facebookresearch / shaDow_GNN
  [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…
  ☆132Updated 2 years ago
• GTmac / HARP
  Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
  ☆115Updated last year
• IllinoisGraphBenchmark / IGB-Datasets
  Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…
  ☆79Updated 2 months ago
• nkahmed / PGD
  A Parallel Graphlet Decomposition Library for Large Graphs
  ☆87Updated 5 years ago
• snap-stanford / distance-encoding
  Distance Encoding for GNN Design
  ☆187Updated 3 years ago
• yifan-h / CS-GNN
  Measuring and Improving the Use of Graph Information in Graph Neural Networks
  ☆82Updated 6 months ago
• hugochan / IDGL
  Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…
  ☆226Updated last year
• muhanzhang / NestedGNN
  ☆55Updated 3 years ago
• CUAI / Non-Homophily-Benchmarks
  [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs
  ☆111Updated 3 years ago
• THUDM / MCNS
  Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"
  ☆112Updated 3 years ago
• AnryYang / PANE
  Official Implementation for "Scaling Attributed Network Embedding to Massive Graphs"
  ☆17Updated last year
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆120Updated 2 years ago
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆185Updated 2 years ago
• szzhang17 / Scaling-Up-Graph-Neural-Networks-Via-Graph-Coarsening
  Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"
  ☆27Updated 8 months ago