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Search results for python graph neural networks
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Graph Neural Network Library for PyTorch
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Anomaly Detection Resources
Anomaly detection related books, papers, videos, and toolboxes
A unified, comprehensive and efficient recommendation library
StellarGraph - Machine Learning on Graphs
Graph Neural Networks with Keras and Tensorflow 2.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Benchmark datasets, data loaders, and evaluators for graph machine learning
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
A library for graph deep learning research
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A powerful and flexible machine learning platform for drug discovery
A Graph Neural Network Library in Jax
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Awesome Self Supervised Gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
A Python Library for Graph Outlier Detection (Anomaly Detection)
An autoML framework & toolkit for machine learning on graphs.
Protein Graph Library
A pytorch adversarial library for attack and defense methods on images and graphs
How Powerful are Graph Neural Networks?
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Awesome Federated Learning On Graph And Tabular Data
Federated learning on graph and tabular data related papers, frameworks, and datasets.
Strategies for Pre-training Graph Neural Networks
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Python package for graph neural networks in chemistry and biology
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Code and resources on scalable and efficient Graph Neural Networks
Python library assists deep learning on graphs
[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
A Deep Graph-based Toolbox for Fraud Detection
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
Awesome Deep Graph Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs).
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
Neural Graph Collaborative Filtering, SIGIR2019
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Heterogeneous Graph Neural Network
A PyTorch Graph Neural Network Library
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"
Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).
Recipe for a General, Powerful, Scalable Graph Transformer
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
Person Reid 3d
TNNLS'22 🗽 Parameter-Efficient Person Re-identification in the 3D Space 🗽
Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Versatile End-to-End Recommender System
A batteries-included kit for knowledge graphs
DANCE: A Deep Learning Library and Benchmark Platform for Single-Cell Analysis
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
A pytorch library for graph and hypergraph computation.
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Spectral Clustering With Graph Neural Networks For Graph Pooling
Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
Hierarchical Graph Pooling with Structure Learning
Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)
[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining
Mtad Gat Pytorch
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).
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
A Euclidean diffusion model for structure-based drug design.
Ai Competition Collections
AI比赛经验帖子 & 训练和测试技巧帖子 集锦（收集整理各种人工智能比赛经验帖）
Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation
Awesome Gnn Systems
A list of awesome GNN systems.
Deep Graph Matching Consensus
Implementation of "Deep Graph Matching Consensus" in PyTorch
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Graph Convnet Tsp
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
Graph Neural Network based Social Recommendation Model. SIGIR2019.
A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)
GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)
A collection of GNN-based fake news detection models.
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting
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