Alternatives and similar repositories for PyDGC

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

• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆153Updated 9 months ago
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆265Updated last year
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆143Updated 3 years ago
• 6lyc / CDNMF
  Official implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection" (ICASSP 2024)
  ☆39Updated 6 months ago
• ICT-GIMLab / SeHGNN
  ☆123Updated 2 years ago
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆80Updated last year
• yueliu1999 / SCGC
  [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".
  ☆37Updated 9 months ago
• Tiger101010 / DAEGC
  PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf
  ☆116Updated 4 years ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆182Updated last year
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆66Updated 2 years ago
• hyzhang98 / EGAE
  [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering
  ☆26Updated 3 years ago
• IMKBLE / MAGCN
  ☆39Updated 4 years ago
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆132Updated last year
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆228Updated 2 weeks ago
• yueliu1999 / KAN4Graph
  Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
  ☆64Updated last year
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆75Updated last year
• yueliu1999 / RGC
  [ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number.
  ☆41Updated last year
• Ffffffffire / HINormer
  ☆34Updated 2 years ago
• liun-online / HeCo
  The source code of HeCo
  ☆168Updated 3 years ago
• chakib401 / graph_convolutional_clustering
  [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering
  ☆19Updated last year
• gzcsudo / Awesome-Hypergraph-Network
  A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
  ☆307Updated 10 months ago
• shenxiaocam / NCLA
  Neighbor Contrastive Learning on Learnable Graph Augmentation
  ☆37Updated last year
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆38Updated 2 years ago
• XinPeng97 / TNNLS_DCLN
  Source code for the paper "Dual Contrastive Learning Network for Graph Clustering"
  ☆12Updated last year
• THUDM / GraphMAE2
  GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
  ☆178Updated 2 years ago
• FelixDJC / GRADATE
  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…
  ☆64Updated 2 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆87Updated last year
• Cloudy1225 / Awesome-Link-Prediction
  A list of recent papers about Link Prediction.
  ☆116Updated this week
• Marigoldwu / GC-SEE
  [Pattern Recognition] An official code for paper "Graph Clustering Network with Structure Embedding Enhanced".
  ☆21Updated 2 years ago
• JialuChenChina / ASP
  The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)
  ☆20Updated 8 months ago