Alternatives and similar repositories for pGNNs

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

• qslim / gnn-spectrum

  View on GitHub
  Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"
  ☆17Jun 17, 2022Updated 3 years ago
• guoji-fu / MLT-Papers

  View on GitHub
  Awesome papers in machine learning theory
  ☆10Feb 12, 2022Updated 4 years ago
• yataobian / awesome-DrugAI

  View on GitHub
  Research repo for AI aided drug discovery, de novo drug development and related topics
  ☆37Jan 4, 2022Updated 4 years ago
• yifan-h / GCS_KI

  View on GitHub
  What Has Been Enhanced in my Knowledge-Enhanced Language Model?
  ☆13Oct 26, 2022Updated 3 years ago
• Yujun-Yan / Heterophily_and_oversmoothing

  View on GitHub
  Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
  ☆42Mar 18, 2023Updated 2 years ago
• balcilar / gnn-spectral-expressive-power

  View on GitHub
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆46Jun 10, 2021Updated 4 years ago
• jiaqima / G3NN

  View on GitHub
  A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)
  ☆16Nov 14, 2021Updated 4 years ago
• Graph-COM / StruRW

  View on GitHub
  [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)
  ☆21Jun 20, 2023Updated 2 years ago
• SubsetSelection / EquiVSet

  View on GitHub
  NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle
  ☆21Dec 23, 2022Updated 3 years ago
• guoji-fu / GSDN

  View on GitHub
  The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"
  ☆23Jun 9, 2020Updated 5 years ago
• youjibiying / GTOT-Tuning

  View on GitHub
  Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"
  ☆23Aug 22, 2022Updated 3 years ago
• qitianwu / GraphOOD-EERM

  View on GitHub
  The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
  ☆92Nov 24, 2022Updated 3 years ago
• FFTYYY / TWIRLS

  View on GitHub
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Jun 9, 2021Updated 4 years ago
• balcilar / gnn-matlang

  View on GitHub
  Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021
  ☆42Jun 10, 2021Updated 4 years ago
• Thinklab-SJTU / awesome-ai4pde

  View on GitHub
  ☆10Feb 22, 2023Updated 2 years ago
• yunpeng-shi / MPLS

  View on GitHub
  (ICML 2020) Message Passing Least Squares Algorithm for Rotation Averaging
  ☆12May 10, 2025Updated 9 months ago
• CongWeilin / DGCN

  View on GitHub
  ☆10Aug 13, 2021Updated 4 years ago
• YuGuangWang / HaarPool

  View on GitHub
  PyTorch Codes for Haar Graph Pooling
  ☆11Feb 16, 2023Updated 3 years ago
• sjz5202 / DisenLink

  View on GitHub
  Implementation for paper "Link Prediction on Heterophilic Graphs via Disentangled Representation Learning"
  ☆13Aug 26, 2022Updated 3 years ago
• zknus / Graph-Diffusion-CDE

  View on GitHub
  Graph Neural Convection-Diffusion with Heterophily
  ☆11May 29, 2023Updated 2 years ago
• LFhase / PAIR

  View on GitHub
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆54Apr 12, 2024Updated last year
• tencent-ailab / DrugOOD

  View on GitHub
  OOD Dataset Curator and Benchmark for AI-aided Drug Discovery
  ☆169Oct 23, 2022Updated 3 years ago
• yang-han / P-reg

  View on GitHub
  Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
  ☆34Jun 6, 2021Updated 4 years ago
• chentingpc / gfn

  View on GitHub
  Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"
  ☆53May 5, 2020Updated 5 years ago
• TjuJianyu / RFC

  View on GitHub
  ☆12Jul 17, 2023Updated 2 years ago
• swsamleo / Paper-Viz

  View on GitHub
  This project is lead by Dr Wei Shao
  ☆13Nov 19, 2024Updated last year
• gbarcik / graphnets

  View on GitHub
  Extending the Neural Graph Algorithm Executor
  ☆13Dec 8, 2022Updated 3 years ago
• uta-smile / HGCN

  View on GitHub
  ☆12Mar 30, 2021Updated 4 years ago
• CRIPAC-DIG / GraphAIR

  View on GitHub
  [PR 2021] Code for "GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction"
  ☆12Aug 25, 2021Updated 4 years ago
• tedzhouhk / GCNP

  View on GitHub
  ☆16Dec 8, 2021Updated 4 years ago
• meettyj / NOSMOG

  View on GitHub
  Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".
  ☆34Feb 28, 2023Updated 2 years ago
• weicy15 / GCS

  View on GitHub
  ☆13Nov 21, 2023Updated 2 years ago
• yandex-research / structural-graph-shifts

  View on GitHub
  New structural distributional shifts for evaluating graph models
  ☆15Oct 25, 2023Updated 2 years ago
• snap-research / graphless-neural-networks

  View on GitHub
  [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
  ☆95Oct 22, 2024Updated last year
• tengxiao1 / GraphACL

  View on GitHub
  GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
  ☆34Jun 11, 2024Updated last year
• hazdzz / awesome-gnn

  View on GitHub
  A list for GNNs and related works.
  ☆104Dec 7, 2025Updated 2 months ago
• jianhao2016 / GPRGNN

  View on GitHub
  ☆138Jul 9, 2023Updated 2 years ago
• RUCAIBox / EulerFormer

  View on GitHub
  [SIGIR 2024] This is the official PyTorch implementation for the paper: "EulerFormer: Sequential User Behavior Modeling with Complex Vect…
  ☆17Oct 5, 2024Updated last year
• LFhase / GMT

  View on GitHub
  [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?
  ☆15Jun 27, 2024Updated last year