Alternatives and similar repositories for InterpretableClustering:

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

• sheldonresearch / MGCN
  Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020
  ☆30Updated 4 years ago
• sunilkmaurya / FSGNN
  ☆31Updated last year
• GemsLab / CPGNN
  ☆29Updated 3 years ago
• seven-echo / Dynamic-graph-dataset
  Dynamic graph/network dataset for dynamic graph/network embedding/representation
  ☆34Updated 4 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆54Updated 3 years ago
• snudatalab / SVGA
  Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)
  ☆18Updated last year
• jindi-tju / U-GCN
  Source code of "NeurIPS21 - Universal Graph Convolutional Networks"
  ☆20Updated 3 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆47Updated 3 years ago
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆47Updated last year
• zyzisastudyreallyhardguy / Graph-Group-Discrimination
  Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…
  ☆54Updated 2 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆36Updated 10 months ago
• flyingdoog / PTDNet
  Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
  ☆77Updated 3 years ago
• YH-UtMSB / sigvae-torch
  A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders
  ☆14Updated 4 years ago
• DMIRLAB-Group / MGNN
  ☆10Updated last year
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆31Updated 5 years ago
• BUPT-GAMMA / Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning
  Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"
  ☆29Updated 2 years ago
• jingweio / LGD-GCN
  [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"
  ☆19Updated last year
• zaixizhang / Graph_Transformer
  A pytorch implementation of graph transformer for node classification
  ☆30Updated last year
• NSSSJSS / MHGCN
  KDD'22
  ☆60Updated 2 years ago
• MysteryVaibhav / RWR-GAE
  Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
  ☆38Updated last year
• liyu1990 / snea
  Learning Signed Network Embedding via Graph Attention, aaai2020
  ☆21Updated 4 years ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆32Updated 3 years ago
• tadpole / DHNE
  the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）
  ☆45Updated 6 years ago
• wokas36 / GraphSNN
  Graph Structured Neural Network
  ☆39Updated 2 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆76Updated 3 months ago
• yusonghust / MT-MVGCN
  source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"
  ☆19Updated 4 years ago
• hedongxiao-tju / HOG-GCN
  ☆37Updated 3 years ago
• snap-stanford / CAW
  ☆77Updated 2 years ago
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆36Updated 10 months ago
• IMKBLE / MAGCN
  ☆37Updated 3 years ago