Alternatives and similar repositories for GraphAKD:

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

• MIRALab-USTC / GNN-LMC
  The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023…
  ☆43Updated 2 years ago
• Samyu0304 / graph-information-bottleneck-for-Subgraph-Recognition
  ☆51Updated 2 years ago
• smart-lty / REST
  The code of paper "Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction" in NeurIPS 2023.
  ☆13Updated last year
• qitianwu / GraphOOD-EERM
  The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
  ☆84Updated 2 years ago
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆79Updated 2 years ago
• liujing1023 / Graph-based-Knowledge-Distillation
  Graph based Knowledge Distillation: A Survey
  ☆64Updated last year
• yixinliu233 / D2PT
  [KDD'23] Learning Strong Graph Neural Networks with Weak Information
  ☆44Updated last year
• LechengKong / gdgnn
  ☆18Updated 2 years ago
• BUPT-GAMMA / Graph-Structure-Estimation-Neural-Networks
  Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"
  ☆58Updated 3 years ago
• zaixizhang / Graph_Transformer
  A pytorch implementation of graph transformer for node classification
  ☆30Updated last year
• GraphPKU / JacobiConv
  How Powerful are Spectral Graph Neural Networks
  ☆70Updated last year
• 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
• MIRALab-USTC / DD-RetroDCVAE
  A novel template-free retrosynthesizer that can generate diverse sets of reactants for a desired product via discrete conditional variati…
  ☆14Updated 2 years ago
• wondergo2017 / DIDA
  Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
  ☆18Updated 2 years ago
• nju-websoft / LKGE
  Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs, AAAI 2023
  ☆29Updated 2 years ago
• Wu-Junran / SEP
  code implementation of SEP(ICML 2022)
  ☆32Updated 2 years ago
• LuckyTiger123 / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆21Updated last year
• thupchnsky / sgc_unlearn
  Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)
  ☆19Updated 2 years ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆121Updated 11 months ago
• shuwen-liu-ox / INDIGO
  ☆24Updated 3 years ago
• MingChen-Sun / GPPT
  ☆57Updated 2 years ago
• logseminar / Schedule
  Schedule for learning on graphs seminar
  ☆111Updated last year
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆66Updated 8 months ago
• susheels / adgcl
  Adversarial Graph Augmentation to Improve Graph Contrastive Learning
  ☆88Updated 3 years ago
• zjunet / DropMessage
  The implementation for DropMessage.
  ☆36Updated last year
• lsh0520 / RGCL
  Ratioanle-aware Graph Contrastive Learning codebase
  ☆40Updated last year
• JHL-HUST / TITer
  ☆41Updated 3 years ago
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆56Updated last year
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆31Updated 3 years ago