98 Open source projects that are alternatives of or similar to AGCN

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

🔨 🍇 💻 🚀 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

Awesome Graph Self-Supervised Learning

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

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

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

A reading list for deep graph learning acceleration.

Geometric Deep Learning for Flux

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

Subgraph Neural Networks (NeurIPS 2020)

Representation Learning on Graphs with Jumping Knowledge Networks

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

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

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

Tutorials for Machine Learning on Graphs

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

An index of recommendation algorithms that are based on Graph Neural Networks.

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

Pytorch differentiable molecular dynamics

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

Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation

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

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

Summary of social recommendation papers and codes

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

Graph-based machine learning for chemical property prediction

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

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

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

Message Passing Neural Networks for Simplicial and Cell Complexes

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

Locally Private Graph Neural Networks (ACM CCS 2021)

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

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

Supervised community detection with line graph neural networks

A spherical CNN for weather forecasting

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

Reimplementation of Graph Embedding methods by Pytorch.

This is a Pytorch implementation of GraphLIME

AAAI'21: Data Augmentation for Graph Neural Networks

⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

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

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

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

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

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

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

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

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

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.

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

A spherical convolutional neural network for cosmology (TFv1).

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

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

Combining relational context and relational paths for knowledge graph completion

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

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

Papers about explainability of GNNs