Alternatives and similar repositories for DLGNN:

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

• wyl7 / ClusterSCL
  The pytorch implementation of ClusterSCL (WWW2022).
  ☆15Updated last year
• muhanzhang / NestedGNN
  ☆55Updated 3 years ago
• yzjiao / Subg-Con
  Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
  ☆44Updated 2 years ago
• DM2-ND / CFLP
  Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
  ☆66Updated 2 years ago
• Graph-COM / SUREL
  [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
  ☆19Updated last year
• GraphPKU / NeuralCommonNeighbor
  ☆41Updated 5 months ago
• YuxiangRen / Heterogeneous-Deep-Graph-Infomax
  HDGI code
  ☆61Updated 4 years ago
• lsh0520 / RGCL
  Ratioanle-aware Graph Contrastive Learning codebase
  ☆39Updated last year
• BUPT-GAMMA / PTHGNN
  source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".
  ☆22Updated 3 years ago
• susheels / gnns-and-local-assortativity
  This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…
  ☆32Updated 3 years ago
• mengliu1998 / DL4DisassortativeGraphs
  Papers about developing DL methods on disassortative graphs
  ☆48Updated 2 years ago
• LeiCaiwsu / LGLP
  ☆27Updated 3 years ago
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• yule-BUAA / R-HGNN
  codes of R-HGNN model for Heterogeneous Graph Representation Learning
  ☆47Updated 2 years ago
• susheels / adgcl
  Adversarial Graph Augmentation to Improve Graph Contrastive Learning
  ☆88Updated 3 years ago
• mori97 / JKNet-dgl
  A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)
  ☆39Updated 6 years ago
• wokas36 / GraphSNN
  Graph Structured Neural Network
  ☆38Updated 2 years ago
• ChandlerBang / SimP-GCN
  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
  ☆60Updated 3 years ago
• THUDM / GRAND-plus
  Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
  ☆32Updated 2 years ago
• LingxiaoShawn / GNNAsKernel
  Source code for From Stars to Subgraphs (ICLR 2022)
  ☆66Updated 9 months ago
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆31Updated 3 years ago
• squareRoot3 / SLOTAlign
  "Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport" in ICDE 2023
  ☆17Updated last year
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆54Updated 3 years ago
• working-yuhao / DEAL
  IJCAI2020
  ☆20Updated 4 years ago
• AndyJZhao / NSHE
  Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"
  ☆25Updated 4 years ago
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆93Updated last year
• uta-smile / HGCN
  ☆12Updated 3 years ago
• mxz12119 / MPDRL
  ☆18Updated 5 years ago
• zyzisastudyreallyhardguy / Graph-Group-Discrimination
  Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…
  ☆54Updated last year
• LechengKong / gdgnn
  ☆18Updated last year