Alternatives and similar repositories for GEEL

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

• yunhuijang / HGGT
  ☆12Updated last year
• hsjang0 / DPM-SNC
  ☆35Updated last year
• harryjo97 / GDSS
  Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…
  ☆176Updated last year
• ml-postech / reverse-gnn
  ☆11Updated last year
• KarolisMart / SPECTRE
  Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …
  ☆26Updated 3 years ago
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆24Updated 2 years ago
• tufts-ml / graph-generation-EDGE
  EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
  ☆65Updated 4 months ago
• harryjo97 / GruM
  Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).
  ☆34Updated last year
• hsjang0 / LED-GFN
  Learning energy decompositions for partial inference in GFlowNets
  ☆16Updated last year
• Graph-COM / Pair-Align
  [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)
  ☆14Updated last year
• jw9730 / random-walk
  [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch
  ☆15Updated 7 months ago
• uoguelph-mlrg / GGM-metrics
  Official repository for the paper "On Evaluation Metrics for Graph Generative Models"
  ☆25Updated 3 years ago
• Data-reindeer / MolScaling
  Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).
  ☆14Updated last year
• Namkyeong / CMRL
  The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"
  ☆24Updated 2 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆112Updated 2 years ago
• caio-freitas / GraphARM
  An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]
  ☆38Updated 9 months ago
• jctops / understanding-oversquashing
  ☆42Updated 3 years ago
• Graph-COM / GESS
  Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
  ☆16Updated 9 months ago
• DongkiKim95 / GDSS-Transformer
  Code Repository for GDSS using Graph Transformer
  ☆16Updated last year
• BenGutteridge / DRew
  ☆31Updated last year
• Namkyeong / AMOLE
  The official source code for "Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Model".
  ☆14Updated last year
• divelab / GOOD
  GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
  ☆202Updated 7 months ago
• jeongwhanchoi / PANDA
  🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
  ☆21Updated last year
• lsj2408 / Graphormer-GD
  [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)
  ☆104Updated 2 years ago
• toenshoff / LRGB
  ☆22Updated last year
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆21Updated 2 years ago
• qslim / PDF
  Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
  ☆13Updated 2 years ago
• LingxiaoShawn / Pard
  Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)
  ☆21Updated last year
• Jaeyun-Song / TAM
  TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
  ☆69Updated 2 years ago
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆129Updated last month