19 results found Sort:

benedekrozemberczki
awesome-graph-classification benedekrozemberczki
744
4.7k
cc0-1.0
217
A collection of important graph embedding, classification and representation learning papers with implementations.
netlsd deepwalk node2vec graph2vec graph-kernel graph-kernels kernel-methods node-embedding graph-embedding network-embedding weisfeiler-lehman deep-graph-kernels attention-mechanism graph-classification structural-attention graph-attention-model classification-algorithm graph-attention-networks graph-convolutional-networks graph-representation-learning
Created 2018-07-14
422 commits to master branch, last one about a year ago
PetarV-
GAT PetarV-
639
3.1k
mit
45
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
python tensorflow self-attention neural-networks attention-mechanism graph-attention-networks
Created 2018-02-01
21 commits to master branch, last one 3 years ago
Diego999
pyGAT Diego999
686
2.8k
mit
17
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
python pytorch self-attention neural-networks attention-mechanism graph-attention-networks
Created 2018-03-02
36 commits to master branch, last one 2 years ago
gordicaleksa
pytorch-GAT gordicaleksa
314
2.3k
mit
46
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy...
gat python jupyter pytorch attention pytorch-gat gat-tutorial deep-learning self-attention attention-mechanism pytorch-implementation graph-attention-network graph-attention-networks
Created 2020-12-26
110 commits to main branch, last one 3 years ago
benedekrozemberczki
CapsGNN benedekrozemberczki
199
1.2k
gpl-3.0
29
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
gnn capsgnn pytorch sklearn deepwalk node2vec research struc2vec tensorflow convolution deep-learning capsule-network machine-learning graph-convolution graph-classification graph-neural-network graph-attention-model capsule-neural-networks graph-attention-networks
Created 2019-01-29
180 commits to master branch, last one about a year ago
dsgiitr
graph_nets dsgiitr
223
1.1k
unknown
37
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
pytorch deepwalk graph-sage node-embedding graph-embedding chebyshev-polynomials graph-attention-networks graph-convolutional-networks graph-representation-learning
Created 2019-08-07
98 commits to master branch, last one 3 years ago
xiangwang1223
knowledge_graph_attention_network xiangwang1223
309
1.0k
mit
13
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
kdd2019 knowledge-graph recommender-system embedding-propagation graph-neural-networks high-order-connectivity knowledge-graph-dataset graph-attention-networks explainable-recommendation knowledge-aware-recommendation knowledge-based-recommendation knowledge-graph-for-recommendation
Created 2019-04-29
60 commits to master branch, last one 3 years ago
Jiakui
awesome-gcn Jiakui
131
852
unknown
24
resources for graph convolutional networks （图卷积神经网络相关资源）
cv gcn nlp graph-attention graph-neural-networks graph-attention-networks
Created 2019-05-11
85 commits to master branch, last one 4 years ago
benedekrozemberczki
MixHop-and-N-GCN benedekrozemberczki
56
398
gpl-3.0
15
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
gcn ngcn mixhop pytorch walklet deepwalk node2vec walklets tensorflow multi-scale pytorch-cnn convolutional deep-learning graph-attention machine-learning graph-convolution convolutional-layers graph-attention-networks convolutional-neural-networks graph-representation-learning
Created 2019-02-23
141 commits to master branch, last one about a year ago
ML4ITS
mtad-gat-pytorch ML4ITS
70
307
mit
8
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).
gnn 2021 pytorch mtad-gat attention time-series deep-learning anomaly-detection graph-neural-networks graph-attention-networks
Created 2021-06-14
483 commits to main branch, last one about a year ago
tech-srl
how_attentive_are_gats tech-srl
34
288
unknown
11
Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
are gat how gatv2 graph pytorch networks attention attentive graph-neural-networks graph-attention-networks
Created 2021-05-23
27 commits to main branch, last one 2 years ago
mlabonne
graph-neural-network-course mlabonne
54
236
unknown
7
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
pytorch deep-learning neural-network pytorch-geometric graph-neural-networks graph-attention-networks graph-convolutional-networks
Created 2022-04-19
21 commits to main branch, last one 9 months ago
QData
LaMP QData
18
85
mit
7
ECML 2019: Graph Neural Networks for Multi-Label Classification
nlp transformers computer-vision graph-neural-networks graph-attention-networks multi-label-classification
Created 2019-04-05
73 commits to master branch, last one about a year ago
alexmonti19
dagnet alexmonti19
21
84
unknown
3
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
gat gcn gnn vae vrnn graph dagnet sports pytorch basketball pedestrians human-trajectory graph-neural-networks trajectory-prediction trajectory-forecasting graph-attention-networks
Created 2020-05-03
62 commits to master branch, last one about a year ago
kevalmorabia97
CoVA-Web-Object-Detection kevalmorabia97
13
82
apache-2.0
6
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
pytorch attention deep-learning computer-vision object-detection visual-attention multimodal-learning information-extraction graph-attention-networks graph-convolutional-networks convolutional-neural-networks
Created 2019-10-22
104 commits to master branch, last one about a year ago
Marigoldwu
A-Unified-Framework-for-Deep-Attribute-Graph-Clustering Marigoldwu
11
80
mit
1
This project is a scalable unified framework for deep graph clustering.
data-mining deep-learning deep-clustering graph-clustering machine-learning deep-graph-clustering graph-attention-networks self-supervised-learning deep-graph-clustering-framework graph-convolutional-neural-networks
Created 2023-04-28
73 commits to main branch, last one 19 days ago
LMissher
STWave LMissher
4
61
unknown
2
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
icde2023 graph-wavelets spatio-temporal urban-computing graph-transformer wavelet-transform traffic-forcasting traffic-forecasting graph-neural-networks time-series-forecasting graph-attention-networks intelligent-transportation-systems
Created 2022-07-24
22 commits to main branch, last one 2 months ago
aptx1231
START aptx1231
19
58
mit
2
[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).
icde icde2023 transformer trajectory-analysis contrastive-learning trajectory-clustering trajectory-prediction trajectory-similarity unsupervised-learning representation-learning graph-attention-networks self-supervised-learning trajectory-representation trajectory-representation-learning
Created 2022-11-21
5 commits to master branch, last one 11 months ago
tk-rusch
GraphCON tk-rusch
7
50
unknown
3
GraphCON (ICML 2022)
icml icml-2022 oversmoothing pytorch-geometric graph-neural-networks graph-attention-networks graph-convolutional-networks
Created 2021-08-13
114 commits to main branch, last one about a year ago