Alternatives and similar repositories for hgnn

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

• HazyResearch / hgcn
  Hyperbolic Graph Convolutional Networks in PyTorch.
  ☆646Updated last year
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆199Updated last year
• gasteigerjo / gdc
  Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
  ☆273Updated 2 years ago
• CUAI / CorrectAndSmooth
  [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)
  ☆292Updated 4 years ago
• dalab / hyperbolic_nn
  Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
  ☆180Updated 5 years ago
• bingzhewei / geom-gcn
  ☆302Updated 3 years ago
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆189Updated 3 years ago
• hugochan / IDGL
  Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…
  ☆232Updated 2 years ago
• snap-stanford / distance-encoding
  Distance Encoding for GNN Design
  ☆187Updated 4 years ago
• ibalazevic / multirelational-poincare
  Multi-relational Poincaré Graph Embeddings
  ☆161Updated 6 years ago
• gasteigerjo / ppnp
  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
  ☆322Updated 10 months ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆125Updated 6 years ago
• twitter-research / sign
  SIGN: Scalable Inception Graph Network
  ☆95Updated 4 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
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆134Updated 5 years ago
• THUDM / GRAND
  Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
  ☆210Updated 2 years ago
• danielzuegner / netgan
  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
  ☆196Updated 4 years ago
• malllabiisc / ASAP
  AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
  ☆101Updated 5 years ago
• mengliu1998 / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆155Updated 3 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 7 years ago
• sunfanyunn / InfoGraph
  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …
  ☆321Updated last year
• acbull / LADIES
  Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
  ☆76Updated 2 years ago
• snap-stanford / GraphRNN
  ☆430Updated 6 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆399Updated 5 years ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆85Updated last year
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆138Updated 7 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 2 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆354Updated 4 months ago
• ferrine / hyrnn
  Hyperbolic Neural Networks, pytorch
  ☆87Updated 6 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆286Updated 5 years ago