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

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

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

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

This is a Pytorch implementation of GraphLIME

A spherical CNN for weather forecasting

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

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

Implement of DiGCN, NeurIPS-2020

Locally Private Graph Neural Networks (ACM CCS 2021)

A spherical convolutional neural network for cosmology (TFv1).

Supervised community detection with line graph neural networks

AAAI'21: Data Augmentation for Graph Neural Networks

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

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

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

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.

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

Graph-based machine learning for chemical property prediction

Inductive relation prediction by subgraph reasoning, ICML'20

Message Passing Neural Networks for Simplicial and Cell Complexes

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)

No description or website provided.

Reimplementation of Graph Embedding methods by Pytorch.

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

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

Awesome Graph Self-Supervised Learning

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

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

Combining relational context and relational paths for knowledge graph completion

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

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

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

Implementation of "Overlapping Community Detection with Graph Neural Networks"

Geometric Deep Learning for Flux

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

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

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.

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

Implementation of Directional Graph Networks in PyTorch and DGL

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

A reading list for deep graph learning acceleration.

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

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

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

Tutorials for Machine Learning on Graphs

Graph-based Deep Q Network for Web Navigation

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

Papers about explainability of GNNs

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

Combining relational context and relational paths for knowledge graph completion

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

links to conference publications in graph-based deep learning

Summary of open source code for deep learning models in the field of traffic prediction

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

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

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