Alternatives and similar repositories for GraphGUIDE

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

• RPaolino / loopy
  ☆11Updated 11 months ago
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 7 months ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆52Updated 5 months ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆68Updated 2 years ago
• RPaolino / fLode
  ☆18Updated last year
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆58Updated 2 years ago
• BenGutteridge / DRew
  ☆31Updated last year
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆15Updated 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
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆54Updated 2 years ago
• MichailChatzianastasis / GOAT
  Official Code Repository for the paper "Graph Ordering Attention Networks"
  ☆21Updated last year
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆26Updated 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
• KarolisMart / SPECTRE
  Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …
  ☆26Updated 2 years ago
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆42Updated 3 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated last year
• 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
• toenshoff / LRGB
  ☆21Updated last year
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆20Updated 2 years ago
• Graph-COM / Pair-Align
  [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)
  ☆13Updated last year
• ispamm / MATE
  MetA-Train to Explain
  ☆18Updated 3 years ago
• karl-zhao / benchmarking-gnns-pyg
  ☆31Updated 2 years ago
• cedricvincentcuaz / GDL
  Code for Online Graph Dictionary Learning
  ☆17Updated 3 years ago
• DeepGraphLearning / GraphLoG
  Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
  ☆80Updated 4 years ago
• tufts-ml / graph-generation-vi
  This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…
  ☆29Updated last month
• Namkyeong / CMRL
  The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"
  ☆24Updated 2 years ago
• kilianhae / discrete_DPPM_Graphs
  Diffusion Models for Graphs Benefit From Discrete State Spaces
  ☆34Updated 2 years ago
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆21Updated last year
• DavideBuffelli / SAME
  Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…
  ☆18Updated 3 years ago
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 3 years ago