Alternatives and similar repositories for SRDML:

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

• yongduosui / CAL
  [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…
  ☆80Updated last year
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆56Updated last year
• yifeiacc / COSTA
  Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
  ☆48Updated last year
• liujing1023 / Graph-based-Knowledge-Distillation
  Graph based Knowledge Distillation: A Survey
  ☆64Updated last year
• Arthur-Null / SRD
  Official pytorch implementation of Spatial Relation Decomposition method (AAAI 23)
  ☆24Updated last year
• Skyorca / Awesome-Graph-Domain-Adaptation-Papers
  Published papers focusing on graph domain adaptation
  ☆35Updated last month
• liugangcode / SGIR
  [KDD'23] Source codes of "Semi-Supervised Graph Imbalanced Regression"
  ☆18Updated last year
• EdisonLeeeee / MaskGAE
  [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
  ☆82Updated 3 months ago
• fannie1208 / CaNet
  [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.
  ☆22Updated 3 months ago
• ZhichenZhao / pytorch-mmoe
  ☆26Updated 4 years ago
• Namkyeong / AFGRL
  The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"
  ☆76Updated 2 years ago
• RingBDStack / VIB-GSL
  Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022
  ☆33Updated 2 years ago
• weicy15 / CGI
  Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
  ☆27Updated 2 years ago
• LFhase / CIGA
  [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
  ☆105Updated last year
• hengruizhang98 / GRAND
  DGL implementation of GRAND(Graph Random Neural Network, NeurIPS 2020)
  ☆18Updated 3 years ago
• Samyu0304 / graph-information-bottleneck-for-Subgraph-Recognition
  ☆51Updated 2 years ago
• TrustAGI-Lab / UDAGCN
  Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.
  ☆55Updated 3 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
• UConn-DSIS / Survey-of-Continual-Learning-on-Graphs
  Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"
  ☆45Updated 10 months ago
• kaize0409 / Meta-PN
  PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)
  ☆29Updated 2 years ago
• skepsun / Adaptive-Graph-Diffusion-Networks
  ☆45Updated last month
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆79Updated 2 years ago
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• BUPT-GAMMA / IGM
  source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".
  ☆14Updated 9 months ago
• SukwonYun / LTE4G
  The official source code for "LTE4G: Long-Tail Experts for Graph Neural Networks" paper, accepted at CIKM 2022.
  ☆38Updated 2 years ago
• googlebaba / StableGNN
  StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
  ☆21Updated last year
• zjunet / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆25Updated last year
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆54Updated last year
• yixinliu233 / G-OOD-D
  [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
  ☆37Updated last year
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆66Updated 7 months ago