Alternatives and similar repositories for LDG:

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

• Harryi0 / dyrep_torch
  ☆39Updated 4 years ago
• rootlu / MMDNE
  Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
  ☆37Updated 3 years ago
• VGraphRNN / VGRNN
  Variational Graph Recurrent Neural Networks - PyTorch
  ☆115Updated 4 years ago
• AvigdorZ / ADaptive-Structural-Fingerprint
  ☆29Updated 4 years ago
• tadpole / DHNE
  the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）
  ☆45Updated 6 years ago
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆30Updated 5 years ago
• zpeng27 / GMI
  Graph Representation Learning via Graphical Mutual Information Maximization
  ☆115Updated 5 years ago
• deezer / gravity_graph_autoencoders
  Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…
  ☆45Updated last year
• jhljx / CTGCN
  CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…
  ☆96Updated last year
• jennyzhang0215 / GaAN
  ☆53Updated 5 years ago
• sunfanyunn / vGraph
  Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)
  ☆45Updated last year
• dongkwan-kim / SuperGAT
  [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
  ☆156Updated 2 years ago
• flyingtango / DiGCN
  Implement of DiGCN, NeurIPS-2020
  ☆47Updated 3 years ago
• huangjunjie-cs / SiGAT
  source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)
  ☆54Updated last year
• bdy9527 / FAGCN
  ☆95Updated 4 years ago
• WangXuhongCN / APAN
  ☆61Updated 2 years ago
• karenlatong / AGC-master
  ☆50Updated 3 years ago
• snap-stanford / CAW
  ☆76Updated 2 years ago
• urielsinger / tNodeEmbed
  tNodeEmbed
  ☆79Updated 2 years ago
• limaosen0 / Variational-Graph-Auto-Encoders
  This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
  ☆74Updated 6 years ago
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆194Updated last year
• hugochan / IDGL
  Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…
  ☆227Updated last year
• ChandlerBang / SelfTask-GNN
  Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
  ☆97Updated last year
• acbull / LADIES
  Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
  ☆76Updated 2 years ago
• YuxiangRen / Heterogeneous-Deep-Graph-Infomax
  HDGI code
  ☆61Updated 5 years ago
• zhengdao-chen / GNN4CD
  Supervised community detection with line graph neural networks
  ☆89Updated 4 years ago
• ShinKyuY / Representation_Learning_on_Graphs_with_Jumping_Knowledge_Networks
  Representation Learning on Graphs with Jumping Knowledge Networks
  ☆39Updated 5 years ago
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆47Updated last year
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆132Updated 4 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆124Updated 5 years ago