Alternatives and similar repositories for PACE

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

• LUOyk1999 / DAGformer
  [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"
  ☆66Updated 2 weeks ago
• vthost / DAGNN
  A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong i…
  ☆130Updated last year
• google-deepmind / digraph_transformer
  ☆119Updated 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
• Graph-COM / LayerDAG
  [ICLR 2025 Spotlight] LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs
  ☆18Updated 4 months ago
• balcilar / gnn-matlang
  Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021
  ☆41Updated 3 years ago
• DerekQXu / GLSearch
  GLSearch: Maximum Common Subgraph Detection via Learning to Search
  ☆23Updated last year
• PKUterran / NetlistGNN
  ☆43Updated 2 years ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆51Updated last year
• kouroshHakha / circuit-fewshot-code
  ☆12Updated 2 years ago
• lydiawunan / LOSTIN
  LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models
  ☆22Updated 3 years ago
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆20Updated last year
• THUMNLab / NAS-Bench-Graph
  ☆24Updated 2 years ago
• KarolisMart / DropGNN
  The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)
  ☆26Updated 2 years ago
• RexYing / Rex-Ying-Thesis
  Rex Ying's Ph.D. Thesis, Stanford University
  ☆42Updated 2 years ago
• shi27feng / transformers.satisfy
  propositional satisfiability problem (SAT) goes neural and deep
  ☆13Updated 3 years ago
• Graph-COM / PEG
  ☆41Updated 2 years ago
• cornell-zhang / Polynormer
  Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
  ☆40Updated last year
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated 2 years ago
• muhanzhang / NestedGNN
  ☆57Updated 3 years ago
• Graph-COM / GraphMaker
  [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
  ☆58Updated last month
• Graph-COM / SUREL
  [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
  ☆19Updated last month
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆50Updated 4 months ago
• 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
  ☆37Updated last year
• Graph-COM / CO_ProxyDesign
  The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
  ☆16Updated 2 years ago
• PurdueMINDS / size-invariant-GNNs
  Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
  ☆23Updated 2 years ago
• XiaoxinHe / icml2023_learning_on_graphs
  List of papers on ICML2023.
  ☆55Updated last year
• qwerfdsaplking / Graph-Trans
  A graph transformer framework
  ☆77Updated 2 years ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆45Updated 9 months ago
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 6 months ago