Alternatives and similar repositories for Reading-List

Users that are interested in Reading-List are comparing it to the libraries listed below

• SDS-Lab / ROT-Pooling
  Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)
  ☆16Updated last year
• Shen-Lab / GDA-SpecReg
  [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆21Updated 2 years ago
• rjiang03 / HCL-OT
  ☆11Updated 2 years ago
• qingmeiwangdaily / HCL_TPP
  [AAAI2023 Oral] The official implementation of "Hierarchical Contrastive Learning for Temporal Point Processes"
  ☆24Updated 2 months ago
• Emiyalzn / GraphDE
  Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…
  ☆20Updated 2 years ago
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆23Updated last year
• Graph-COM / GESS
  Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
  ☆16Updated 5 months ago
• mengliu1998 / DL4DisassortativeGraphs
  Papers about developing DL methods on disassortative graphs
  ☆48Updated 2 years ago
• Namkyeong / CMRL
  The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"
  ☆22Updated 2 years ago
• SDS-Lab / QW_Loss
  A Quasi-Wasserstein Loss for Learning Graph Neural Networks (QW loss)
  ☆10Updated last year
• Graph-COM / Neural_Higher-order_Pattern_Prediction
  ☆14Updated 3 years ago
• EDAPINENUT / GNTPP
  This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).
  ☆19Updated 2 years ago
• cedricvincentcuaz / GDL
  Code for Online Graph Dictionary Learning
  ☆17Updated 3 years ago
• AndrewZhou924 / graph-ood-detection
  A curated list of resources for OOD detection with graph data.
  ☆19Updated last year
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 3 years ago
• SongYYYY / KDD22-OODGAT
  This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.
  ☆23Updated 2 years ago
• caoyxuan / W2PGNN
  code for kdd feasibiiity
  ☆11Updated last year
• LFhase / GALA
  [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
  ☆21Updated 9 months ago
• BorgwardtLab / NeuralWalker
  Official Pytorch implementation of NeuralWalker
  ☆33Updated last year
• lsh0520 / RGCL
  Ratioanle-aware Graph Contrastive Learning codebase
  ☆43Updated last year
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago
• amazon-science / doscond
  ☆19Updated last year
• PythonOT / OTML_course_2022
  ☆10Updated 2 years ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆48Updated 3 years ago
• guoji-fu / pGNNs
  [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks
  ☆27Updated 2 years ago
• syr-cn / SimSGT
  [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"
  ☆36Updated last year
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆58Updated last year
• DongkiKim95 / D-SLA
  Official Code Repository for the paper "Graph Self-supervised Learning with Accurate Discrepancy Learning" (NeurIPS 2022)
  ☆18Updated 2 years ago
• LFhase / CIGA
  [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
  ☆113Updated last year
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆35Updated 3 years ago