Luckick / EAGCN

Related projects ⓘ

Alternatives and complementary repositories for EAGCN

• dawnranger / pytorch-AGNN
  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
  ☆145Updated 6 years ago
• TrustAGI-Lab / ARGA
  This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …
  ☆185Updated 2 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated last year
• divelab / lgcn
  ☆136Updated 4 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆123Updated 5 years ago
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆118Updated 6 months ago
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆183Updated 2 years ago
• johncava / GCN-pytorch
  Pytorch Implementation of Graph Convolutional Neural Networks
  ☆111Updated 7 years ago
• lrjconan / LanczosNetwork
  Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …
  ☆311Updated 5 years ago
• wengong-jin / iclr19-graph2graph
  Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)
  ☆147Updated 5 years ago
• VoVAllen / diffpool
  ☆37Updated 5 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆282Updated 4 years ago
• RexYing / diffpool
  ☆476Updated 3 years ago
• snap-stanford / GraphRNN
  ☆415Updated 5 years ago
• muhanzhang / DGCNN
  Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".
  ☆174Updated 6 years ago
• huangwb / AS-GCN
  tensorflow-as-gcn
  ☆92Updated 5 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆93Updated 5 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆395Updated 4 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆138Updated 6 years ago
• malllabiisc / ASAP
  AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
  ☆99Updated 4 years ago
• vermaMachineLearning / Graph-Capsule-CNN-Networks
  Graph Capsule Convolutional Neural Networks
  ☆36Updated 4 years ago
• KaihuaTang / GGNN-for-bAbI-dataset.pytorch.1.0
  A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)
  ☆54Updated 2 years ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆133Updated 5 years ago
• bknyaz / graph_nn
  Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
  ☆327Updated 4 years ago
• mengliu1998 / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆154Updated 2 years ago
• cszhangzhen / HGP-SL
  Hierarchical Graph Pooling with Structure Learning
  ☆326Updated 3 years ago
• XinyiZ001 / CapsGNN
  Tensorflow implementation of Capsule Graph Neural Network
  ☆75Updated 3 years ago
• horacepan / gnns
  Collection of graph neural networks in pytorch
  ☆50Updated 6 years ago
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆325Updated 6 years ago
• vuptran / graph-representation-learning
  Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
  ☆253Updated 5 years ago