Popular GitHub Repositories for Isomorphism

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)

Play, learn, solve, and analyze No-Limit Texas Hold Em. Implementation follows from Monte Carlo counter-factual regret minimization over with hierarchical K-means imperfect recall abstractions.

Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252

A PyTorch Geometric implementation of SimGNN with some extensions.

Code for ACL 2023 paper "HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification"

Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning

This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation"

Exploring QSAR Models for Activity-Cliff Prediction

BioGITOM: Matching Biomedical Ontologies with Graph Isomorphism Transformer

Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)

Multi-objective application placement in fog computing using graph neural network-based reinforcement learning

Rematch: Robust and Efficient Matching of Local Knowledge Graphs for Improved Structural and Semantic Similarity

Flow-a-gorithm is an algorithm-centric framework for detecting anomalies in network traffic through graph-based modeling and subgraph analysis. This project combines subgraph isomorphism, incremental detection algorithms, and a Graph Convolutional Network (GCN) to identify suspicious patterns in dynamic network flow data.

Predict the properties of molecules through contrastive pre-training and Graph Isomorphism