Alternatives and similar repositories for SpeqNets

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

• ZZYSonny / PlanE
  Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…
  ☆13Updated last year
• FilippoMB / The-expressive-power-of-pooling-in-GNNs
  Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023
  ☆36Updated last year
• jctops / understanding-oversquashing
  ☆40Updated 3 years ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆15Updated last year
• toenshoff / LRGB
  ☆21Updated last year
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆100Updated last year
• KarolisMart / SPECTRE
  Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …
  ☆26Updated 2 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated 2 years ago
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆89Updated 2 years ago
• uoguelph-mlrg / GGM-metrics
  Official repository for the paper "On Evaluation Metrics for Graph Generative Models"
  ☆25Updated 3 years ago
• BenGutteridge / DRew
  ☆31Updated last year
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 7 months ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 2 years ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆157Updated last year
• AdrianArnaiz / DiffWire
  DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…
  ☆19Updated 2 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆111Updated 2 years ago
• priba / graph_metric.pytorch
  Graph Metric Learning in PyTorch
  ☆10Updated 4 years ago
• BorgwardtLab / TOGL
  Topological Graph Neural Networks (ICLR 2022)
  ☆124Updated 3 years ago
• cvignac / SMP
  ☆28Updated 3 years ago
• GraphPKU / BREC
  ☆22Updated last year
• clabat9 / Tangent-Bundle-Neural-Networks
  Codes for the Numerical Results of the paper "Tangent Bundle Neural Networks: from Manifolds to Celullar Sheaves and Back"
  ☆11Updated 2 years ago
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆24Updated 5 years ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆89Updated last year
• beabevi / SUN
  Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)
  ☆41Updated 2 years ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆82Updated last year
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆118Updated 4 years ago
• gasteigerjo / lcn
  Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …
  ☆19Updated 2 years ago
• gbouritsas / PnC
  Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952
  ☆35Updated 3 years ago
• twitter-research / neural-sheaf-diffusion
  ☆77Updated last year
• RPaolino / fLode
  ☆18Updated last year