Alternatives and similar repositories for ProtGNN

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

• zaixizhang / GraphMI

  View on GitHub
  Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"
  ☆13Nov 19, 2021Updated 4 years ago
• MangoKiller / SimOAR_OAR

  View on GitHub
  ☆11Nov 8, 2023Updated 2 years ago
• RandallBalestriero / SplineLLM

  View on GitHub
  ☆16Dec 10, 2023Updated 2 years ago
• flyingdoog / awesome-graph-explainability-papers

  View on GitHub
  Papers about explainability of GNNs
  ☆785Jan 1, 2026Updated last month
• 16372212 / FewM-HGCL

  View on GitHub
  布谷鸟异构图构建，对比学习
  ☆11Jun 1, 2022Updated 3 years ago
• jacobdeasy / geometric-js

  View on GitHub
  ☆17Jun 4, 2021Updated 4 years ago
• HKUST-KnowComp / DummyNode4GraphLearning

  View on GitHub
  Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"
  ☆19Apr 24, 2023Updated 2 years ago
• pietrobarbiero / entropy-lens

  View on GitHub
  ☆18Mar 9, 2023Updated 2 years ago
• ytchx1999 / Graphormer

  View on GitHub
  This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".
  ☆14Aug 20, 2021Updated 4 years ago
• NeurAI-Lab / BiRT

  View on GitHub
  Official Repository for the ICML 2023 paper "BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning"
  ☆16Oct 11, 2023Updated 2 years ago
• liugangcode / GREA

  View on GitHub
  [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"
  ☆47Mar 27, 2025Updated 10 months ago
• Graph-and-Geometric-Learning / MolGroup

  View on GitHub
  Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023
  ☆18Dec 19, 2023Updated 2 years ago
• sajen-k / Quantum_Graph_Recurrent_Neural_Network

  View on GitHub
  Implementation of Quantum Graph Recurrent Neural Network (QGRNN)
  ☆20Apr 14, 2021Updated 4 years ago
• hqhQAQ / EvalProtoPNet

  View on GitHub
  [ICCV 2023] Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks
  ☆18Oct 12, 2023Updated 2 years ago
• zaixizhang / MGSSL

  View on GitHub
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆127Aug 18, 2023Updated 2 years ago
• ahstat / affiliation-metrics-py

  View on GitHub
  Python 3 implementation of the affiliation metrics and tests for reproducing the experiments described in "Local Evaluation of Time Serie…
  ☆26May 30, 2022Updated 3 years ago
• DeepGraphLearning / GraphLoG

  View on GitHub
  Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
  ☆80Jun 9, 2021Updated 4 years ago
• Murali-group / PathLinker

  View on GitHub
  Connect the dots in networks.
  ☆20Aug 28, 2020Updated 5 years ago
• lukasjf / contrastive-gnn-explanation

  View on GitHub
  ☆19Sep 30, 2022Updated 3 years ago
• qcri / PDNS-Net

  View on GitHub
  Passive DNS Dataset of Domain Resolutions
  ☆19Jun 14, 2022Updated 3 years ago
• flyingdoog / PGExplainer

  View on GitHub
  Parameterized Explainer for Graph Neural Network
  ☆142Feb 23, 2024Updated last year
• RyanWangZf / Trial2Vec

  View on GitHub
  Findings of EMNLP'22 | Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision
  ☆25Apr 11, 2024Updated last year
• gmum / ProtoPool

  View on GitHub
  Code for "Interpretable image classification with differentiable prototypes assignment", ECCV 2022
  ☆28Nov 23, 2022Updated 3 years ago
• amazon-science / page-link-path-based-gnn-explanation

  View on GitHub
  ☆26Jun 18, 2024Updated last year
• ha-lins / PGCL

  View on GitHub
  The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]
  ☆24Aug 21, 2022Updated 3 years ago
• likuanppd / STABLE

  View on GitHub
  source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".
  ☆28May 29, 2024Updated last year
• JJchy / CG_score

  View on GitHub
  Data Valuation without Training of a Model, submitted to ICLR'23
  ☆22Dec 30, 2022Updated 3 years ago
• mims-harvard / GraphXAI

  View on GitHub
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆205May 22, 2024Updated last year
• zaixizhang / DrugGPS_ICML23

  View on GitHub
  Implementation of ICML23 paper "Learning Subpocket Prototypes for Generalizable Structure-based Drug Design"
  ☆30Feb 20, 2024Updated last year
• asFeng / kergnns

  View on GitHub
  ☆30Jan 24, 2022Updated 4 years ago
• MichaelHannalla / dqn_intrusion

  View on GitHub
  A repository for a Deep Q-Learning approach to intrusion detection for networks cyber-attacks.
  ☆10Sep 3, 2021Updated 4 years ago
• EliLillyCo / BioRels

  View on GitHub
  Biological Relationships - Biorels data preparation infrastructure for biology and drug discovery
  ☆14May 19, 2025Updated 8 months ago
• fmeslet / SPPNet

  View on GitHub
  SPPNet: An Appoach For Real-Time Encrypted Traffic Classification Using Deep Learning
  ☆10Aug 6, 2024Updated last year
• 01ANG / Android_RAT

  View on GitHub
  安卓远控，天线6.0 无限使用版
  ☆11Sep 9, 2023Updated 2 years ago
• wanyu-lin / ICML2021-Gem

  View on GitHub
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆66Apr 7, 2022Updated 3 years ago
• Wuyxin / ReFine

  View on GitHub
  Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods
  ☆69Feb 16, 2025Updated 11 months ago
• eegdash / EEGDash

  View on GitHub
  A repo documenting EEG-Dash data and its usage
  ☆58Updated this week
• moen-hyb / ATMOL

  View on GitHub
  A model named ATMOL for predicting molecular property
  ☆10May 2, 2022Updated 3 years ago
• WanyuGroup / CVPR2022-OrphicX

  View on GitHub
  Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…
  ☆35Apr 2, 2022Updated 3 years ago