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A library for graph deep learning research
Created
2020-10-30
1,083 commits to dig-stable branch, last one 10 months ago
《深入浅出图神经网络:GNN原理解析》配套代码
Created
2019-10-21
36 commits to master branch, last one 3 years ago
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
Created
2019-06-11
1,378 commits to main branch, last one about a year ago
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Created
2019-01-29
180 commits to master branch, last one about a year ago
Heterogeneous Graph Neural Network
Created
2019-02-07
40 commits to master branch, last one 4 years ago
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Created
2019-10-09
71 commits to master branch, last one about a year ago
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Created
2021-12-06
318 commits to main branch, last one about a year ago
Recipe for a General, Powerful, Scalable Graph Transformer
Created
2022-05-24
24 commits to main branch, last one about a year ago
A repository of pretty cool datasets that I collected for network science and machine learning research.
Created
2019-04-07
335 commits to master branch, last one 9 months ago
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Created
2021-07-12
149 commits to main branch, last one a day ago
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
Created
2020-09-25
117 commits to master branch, last one 5 months ago
图神经网络整理
Created
2020-06-07
29 commits to master branch, last one 3 years ago
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
Created
2020-11-22
219 commits to main branch, last one about a year ago
Deep and conventional community detection related papers, implementations, datasets, and tools.
Created
2020-06-24
154 commits to master branch, last one 11 months ago
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
Created
2021-02-26
166 commits to main branch, last one 15 days ago
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
Created
2021-03-31
80 commits to main branch, last one 9 days ago
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Created
2019-02-12
155 commits to master branch, last one 2 years ago
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
Created
2021-01-15
50 commits to main branch, last one 10 months ago
Representation learning on dynamic graphs using self-attention networks
Created
2019-07-21
3 commits to master branch, last one 4 years ago
Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"
Created
2019-08-13
28 commits to master branch, last one about a year ago
Awesome Resources for Advanced Computer Vision Topics
Created
2019-07-31
57 commits to master branch, last one about a year ago
A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
Created
2022-01-12
140 commits to main branch, last one 3 months ago
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
Created
2021-06-07
9 commits to main branch, last one about a year ago
GFlowNet library specialized for graph & molecular data
Created
2022-02-24
165 commits to trunk branch, last one a day ago
Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021
Created
2021-02-14
8 commits to main branch, last one 3 years ago
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
gensim
pytorch
deepwalk
node2vec
word2vec
clustering
word-vector
deep-learning
ego-splitting
factorization
node-embedding
graph-embedding
machine-learning
network-embedding
community-detection
deep-neural-network
graph-neural-network
implicit-factorization
graph-representation-learning
overlapping-community-detection
Created
2019-03-17
126 commits to master branch, last one about a year ago
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
gcn
gnn
pytorch
deepwalk
node2vec
tensorflow
deep-learning
active-learning
graph-embedding
graph-convolution
network-embedding
node-classification
graph-classification
graph-neural-network
graph-neural-networks
active-learning-module
deep-learning-algorithms
machine-learning-algorithms
graph-convolutional-networks
graph-representation-learning
Created
2019-04-23
126 commits to master branch, last one 2 years ago
[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)
Created
2022-10-04
19 commits to main branch, last one about a year ago
Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)
Created
2019-08-12
54 commits to master branch, last one 2 years ago
All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
Created
2024-06-08
22 commits to main branch, last one about a month ago