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Search results for graph gnn
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53 search results found
Gnnpapers
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15,156
Must-read papers on graph neural networks (GNN)
Pytorch_geometric_temporal
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2,386
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Graph Learn
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1,239
An Industrial Graph Neural Network Framework
Capsgnn
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1,180
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Gunrock
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908
Programmable CUDA/C++ GPU Graph Analytics
Graphneuralnetwork
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568
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Simgnn
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540
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Libgrape Lite
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345
🍇 A C++ library for parallel graph processing (GRAPE) 🍇
Ptgnn
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305
A PyTorch Graph Neural Network Library
Ggnn.pytorch
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302
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
Awesome Federated Learning On Graph And Gnn Papers
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225
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
Graph Matching Networks
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223
PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (ICML 2019).
Tokengt
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209
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
Grand
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196
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
Literatures On Gnn Acceleration
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173
A reading list for deep graph learning acceleration.
Gnn_note
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158
图神经网络整理
What I Have Read
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149
Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers
3dgnn_pytorch
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142
3D Graph Neural Networks for RGBD Semantic Segmentation
Lamda Ssl
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130
30 Semi-Supervised Learning Algorithms
Gnn Lspe
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114
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Coolgraph
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103
Make GNN easy to start with
Ai Paper Drawer
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88
人工智能论文关键点集结。This project aims to collect key points of AI papers.
Bgcn
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72
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Dagnet
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72
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
Grape Book
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70
图深度学习(葡萄书),在线阅读地址: https://datawhalechina.github.io/grape-book
Bottleneck
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65
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
3dinfomax
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64
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
Egt_pytorch
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58
Edge-Augmented Graph Transformer
Dgcnn
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57
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
Causing
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51
Causing: CAUsal INterpretation using Graphs
Osdi21_ae
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50
Artifact for OSDI'21 GNNAdvisor
Graphml Class
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50
Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
L2p Gnn
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46
Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
Fairgnn
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44
A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)
Gnn Re Ranking
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41
A real-time GNN-based method. Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
Hot
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40
[NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
Graph_neural_net
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36
Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)
Rsgnn
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32
An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))
Essentials
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26
❤️ CUDA/C++ GPU graph analytics simplified.
Maxp_dgl_graph
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24
2021 MAXP 命题赛 任务一:基于DGL的图机器学习任务。队伍:Graph@ICT,🥉rank6。https://www
Mgg_osdi23
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24
Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms.
Gcl
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23
List of Publications in Graph Contrastive Learning
Otcoarsening
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23
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Sagod
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22
A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。
Vqgraph
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21
[ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
Graphlet
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21
PyPi module for Graphlet AI Knowledge Graph Factory
Gnn_in_neurips_2019
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20
A comprehensive collection of GNN works in NeurIPS 2019.
Mangrove
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18
Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.
Quiver Feature
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17
High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph
G3
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17
G3: A Programmable GNN Training System on GPU
Conformalized Gnn
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17
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
Dgn
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16
How to fuse a population of graphs into a single one using graph neural networks?
Gnn Spectral Expressive Power
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14
Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
Dgcnn
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13
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
P Reg
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13
Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
Graphsvx
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12
Explanation method for Graph Neural Networks (GNNs)
Egt
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11
Edge-Augmented Graph Transformer
Extended Simgnn
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11
A PyTorch Geometric implementation of SimGNN with some extensions.
Representing Programs With Graphs
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11
Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"
Kgcn_keras
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9
A Pure Keras Implementation of Knowledge Graph Convolution Network for Recommendation
Simgnn
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8
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
Desco
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8
The official implementation of WSDM'24 paper <DeSCo: Towards Scalable Deep Subgraph Counting>
Gnn Pytorch
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7
GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
Graph In Recommendation Systems
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7
GNNs in Recommendation Systems
Phishgnn
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6
Phishing detection using GNNs
Diffwire
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6
DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-Rodriguez, Ahmed Begga, Francisco Escolano and Nuria Oliver.
Hada
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5
HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
Ugle
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5
Python Framework for An Investigation into Unsupervised GNN Learning Environments
Gnn Learning And Integration
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5
Awesome GNN Learning For beginners
Uge Unbiased Graph Embedding
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5
This is the code for paper "Unbiased Graph Embedding with Biased Graph Observations" accepted by WWW'22.
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