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

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

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

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

Probabilistic Type Inference using Graph Neural Networks

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

Papers about explainability of GNNs

🔨 🍇 💻 🚀 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

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

Awesome Graph Self-Supervised Learning

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

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

Subgraph Neural Networks (NeurIPS 2020)

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

Representation Learning on Graphs with Jumping Knowledge Networks

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

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

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

Tutorials for Machine Learning on Graphs

Combining relational context and relational paths for knowledge graph completion

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

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

Pytorch differentiable molecular dynamics

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

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

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

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.

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

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

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

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

Graph-based machine learning for chemical property prediction

A spherical convolutional neural network for cosmology (TFv1).

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

No description or website provided.

Message Passing Neural Networks for Simplicial and Cell Complexes

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

Locally Private Graph Neural Networks (ACM CCS 2021)

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

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

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

A spherical CNN for weather forecasting

Implement of DiGCN, NeurIPS-2020

Reimplementation of Graph Embedding methods by Pytorch.

Supervised community detection with line graph neural networks

AAAI'21: Data Augmentation for Graph Neural Networks

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

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

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

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

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

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

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

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

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

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.

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).

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

A reading list for deep graph learning acceleration.

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