Alternatives and similar repositories for SELOR

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

• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆48Updated 3 years ago
• zaixizhang / ProtGNN
  Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"
  ☆53Updated 2 years ago
• changdaeoh / FarconVAE
  Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"
  ☆23Updated 3 years ago
• Sungwon-Han / DualFair
  ☆14Updated 2 years ago
• 12wang3 / rrl
  The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…
  ☆114Updated last year
• cshjin / GCL
  List of Publications in Graph Contrastive Learning
  ☆34Updated 3 years ago
• Kaixiong-Zhou / DGN
  Pytorch implementation of differentiable group normalization (NeurIPS 2020)
  ☆38Updated 4 years ago
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆61Updated 2 years ago
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆68Updated 3 years ago
• vanoracai / MixupForGraph
  Code for paper "Mixup for Node and Graph Classification", WWW 2021
  ☆47Updated 4 years ago
• ahxt / G2R
  [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction
  ☆27Updated 3 years ago
• KXY-PUBLIC / DiCGRL
  ☆11Updated 4 years ago
• LARS-research / TabGNN
  ☆51Updated 4 years ago
• ChandlerBang / GCond
  [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"
  ☆142Updated this week
• LFhase / CIGA
  [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
  ☆116Updated 2 years ago
• ShengdingHu / GraphPolicyNetworkActiveLearning
  The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"
  ☆46Updated 4 years ago
• Radical3-HeZhang / Awesome-Trustworthy-GNNs
  ☆98Updated last year
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆89Updated 3 years ago
• BUPT-GAMMA / CPF
  The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …
  ☆77Updated 4 years ago
• yushundong / REDRESS
  Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.
  ☆12Updated 3 years ago
• jaehyun513 / STUNT
  Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…
  ☆59Updated 2 years ago
• nerdslab / bgrl
  PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
  ☆82Updated 2 years ago
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆43Updated 3 years ago
• jma712 / HyperSCI
  ☆46Updated last year
• yushundong / Graph-Mining-Fairness-Data
  Open-source datasets for paper "Fairness in Graph Mining: A Survey".
  ☆18Updated 2 years ago
• Somedaywilldo / AutoGCL
  AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)
  ☆48Updated 3 years ago
• EnyanDai / awesome-turstworthy-graph-neural-networks
  ☆24Updated 3 years ago
• snap-research / graphless-neural-networks
  [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
  ☆94Updated 11 months ago
• yongduosui / CAL
  [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…
  ☆96Updated last year
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆123Updated 2 years ago