117 Open source projects that are alternatives of or similar to overlapping-community-detection

Supervised community detection with line graph neural networks

Graph Neural Network Library for PyTorch

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Geometric Deep Learning for Flux

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

StellarGraph - Machine Learning on Graphs

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper

This is a Pytorch implementation of GraphLIME

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

No description or website provided.

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)

Implement of DiGCN, NeurIPS-2020

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

A PyTorch and TorchDrug based deep learning library for drug pair scoring.

Graph-based machine learning for chemical property prediction

A novel approach to evaluate community detection algorithms on ground truth

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

TypeDB-ML is the Machine Learning integrations library for TypeDB

Combining relational context and relational paths for knowledge graph completion

A reading list for deep graph learning acceleration.

A curated list of awesome graph & self-supervised-learning-based recommendation.

Papers about explainability of GNNs

Code used in the paper "Time Series Clustering via Community Detection in Networks"

A new codebase for Group Activity Recognition. It contains codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition and some other methods.

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)

Source code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

Representing Long-Range Context for Graph Neural Networks with Global Attention

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba 来自阿里巴巴的一站式大规模图计算系统 图分析 图查询 图机器学习

Watchman: An open-source social-media event-detection system

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

Graph-based Deep Q Network for Web Navigation

Probabilistic Type Inference using Graph Neural Networks

[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

Representation Learning on Graphs with Jumping Knowledge Networks

Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

Message Passing Neural Networks for Simplicial and Cell Complexes

Combining relational context and relational paths for knowledge graph completion

Locally Private Graph Neural Networks (ACM CCS 2021)

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

Procedural 3D data generation pipeline for architecture

Community Detection Based on Structure and Content

Tutorials for Machine Learning on Graphs

[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis

Inductive relation prediction by subgraph reasoning, ICML'20

An implementation of the Watset clustering algorithm in Java.

Code for NAACL 2021 paper: MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences