Alternatives and similar repositories for covdepGE

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

• jrwnter / pigvae
  Implementation of the Paper "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning" by Robin Winter, Fran…
  ☆44Updated 3 years ago
• causalbench / causalbench
  ☆57Updated 7 months ago
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆25Updated last year
• uhlerlab / discrepancy_vae
  code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions
  ☆15Updated 2 years ago
• manuelmlmadeira / DeFoG
  Official implementation of the paper: "DeFoG: Discrete Flow Matching for Graph Generation"
  ☆49Updated 2 months ago
• harryjo97 / GDSS
  Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…
  ☆184Updated 2 years ago
• GraphPKU / BREC
  ☆25Updated last year
• uoguelph-mlrg / GGM-metrics
  Official repository for the paper "On Evaluation Metrics for Graph Generative Models"
  ☆25Updated 3 years ago
• cvignac / DiGress
  code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
  ☆492Updated 9 months ago
• joeybose / GGM_LOG_Tutorial
  Geometric Generative Model Tutorial at LoG 2024
  ☆27Updated last year
• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆84Updated last year
• Graph-COM / Pair-Align
  [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)
  ☆14Updated last year
• twitter-research / graph-neural-pde
  Graph Neural PDEs
  ☆337Updated 3 years ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 3 years ago
• uhlerlab / actlearn_optint
  Active learning for optimal intervention design in causal models
  ☆16Updated 2 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆115Updated 2 years ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆85Updated 2 years ago
• XiaoxinHe / neurips2023_learning_on_graphs
  List of papers on NeurIPS2023
  ☆90Updated 2 years ago
• lsj2408 / Graphormer-GD
  [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)
  ☆105Updated 2 years ago
• bunnech / phd_thesis
  PhD Thesis
  ☆39Updated 2 years ago
• zhao-ht / DeepGraph
  This is the code of our work Are More Layers Beneficial to Graph Transformers? published on ICLR 2023.
  ☆21Updated 2 years ago
• smiles724 / MatchExplainer
  ☆11Updated 7 months ago
• jctops / understanding-oversquashing
  ☆42Updated 3 years ago
• jiaqingxie / Theories-of-Graph-Neural-Networks
  A List of Papers on Theoretical Foundations of Graph Neural Networks
  ☆40Updated 9 months ago
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆21Updated 2 years ago
• azminewasi / Awesome-Graph-Research-ICLR2025
  It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…
  ☆43Updated 10 months ago
• RexYing / Rex-Ying-Thesis
  Rex Ying's Ph.D. Thesis, Stanford University
  ☆41Updated 3 years ago
• ChengyiLIU-cs / Generative-Diffusion-Models-on-Graphs
  ☆220Updated 2 years ago
• zdhNarsil / Awesome-GFlowNets
  A curated list of resources about generative flow networks (GFlowNets).
  ☆501Updated last year
• yuanqidu / awesome-graph-generation
  ☆356Updated last year