110 Open source projects that are alternatives of or similar to grail

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

Visualization tool for Graph Neural Networks

links to conference publications in graph-based deep learning

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

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

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Code and resources on scalable and efficient Graph Neural Networks

Subgraph Neural Networks (NeurIPS 2020)

This is a Pytorch implementation of GraphLIME

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

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

Supervised community detection with line graph neural networks

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

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

No description or website provided.

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.

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

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

Graph-based machine learning for chemical property prediction

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.

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

A reading list for deep graph learning acceleration.

Representation Learning on Graphs with Jumping Knowledge Networks

Message Passing Neural Networks for Simplicial and Cell Complexes

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

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

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

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

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

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).

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

Logic Circuits from the Juice library

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

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

Geometric Deep Learning for Flux

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

Combining relational context and relational paths for knowledge graph completion

Probabilistic Type Inference using Graph Neural Networks

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

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

🔨 🍇 💻 🚀 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

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

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

A curated list for awesome graph representation learning resources.

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

Locally Private Graph Neural Networks (ACM CCS 2021)

A spherical convolutional neural network for cosmology (TFv1).

Schema and generated objects for biolink data model and upper ontology

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

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

This is the project containing source codes and pre-trained models about ACL2021 Long Paper ``LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations".

Tutorials for Machine Learning on Graphs

A spherical CNN for weather forecasting

Papers about explainability of GNNs

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

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

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

Reimplementation of Graph Embedding methods by Pytorch.

AAAI'21: Data Augmentation for Graph Neural Networks