Alternatives and similar repositories for edge-to-node

Users that are interested in edge-to-node are comparing it to the libraries listed below

• ai4co / unsupervised-CO-ucom2
  [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
  ☆14Updated last year
• haotang1995 / IterGNN
  Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)
  ☆18Updated 5 years ago
• ytchx1999 / Graphormer
  This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".
  ☆14Updated 4 years ago
• hilbert9221 / NRI-MPM
  Code for Neural Relational Inference with Efficient Message Passing Mechanisms (AAAI 2021).
  ☆19Updated 4 years ago
• davidireland-iso / LeNSE
  ☆14Updated 3 years ago
• zhongyu1998 / PG-GNN
  Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"
  ☆27Updated 3 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆55Updated 2 years ago
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆118Updated 4 years ago
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆62Updated 3 years ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆67Updated 3 years ago
• ZZYSonny / PlanE
  Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…
  ☆13Updated 2 years ago
• subgraph23 / homomorphism-expressivity
  [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
  ☆17Updated 2 years ago
• shamim-hussain / egt_pytorch
  Edge-Augmented Graph Transformer
  ☆80Updated last year
• PurdueMINDS / size-invariant-GNNs
  Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
  ☆23Updated 3 years ago
• BenGutteridge / DRew
  ☆32Updated 2 years ago
• tennisonliu / LLAMBO
  Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"
  ☆101Updated last year
• hsjang0 / LED-GFN
  Learning energy decompositions for partial inference in GFlowNets
  ☆16Updated last year
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆39Updated last year
• fedebotu / kaist-safety-course-bot
  A bot for automatically completing the KAIST safety course
  ☆10Updated 2 years ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆91Updated 2 years ago
• vthost / DAGNN
  A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong i…
  ☆138Updated last year
• balcilar / gnn-matlang
  Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021
  ☆42Updated 4 years ago
• chr26195 / PMLP
  This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".
  ☆90Updated last year
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆85Updated last year
• Graph-COM / GSSC
  [Preprint] Graph State Space Convolution (GSSC)
  ☆14Updated last year
• kaidic / GST
  ☆22Updated 2 years ago
• KarolisMart / DropGNN
  The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)
  ☆26Updated 3 years ago
• mkrzywda / GraphTransformers
  Sandbox to analysis and benchmarking Graph Transformer Neural Networks
  ☆39Updated 3 years ago
• Junyoungpark / CGS
  The official implementation of Convergent Graph Solvers (CGS)
  ☆21Updated 4 years ago
• BorgwardtLab / fisher_information_embedding
  Official code for Fisher information embedding for node and graph learning (ICML 2023)
  ☆19Updated 2 years ago