26 results found Sort:

THUDM
CogDL THUDM
315
1.7k
mit
43
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
pytorch gnn-model leaderboard graph-embedding link-prediction node-classification graph-classification graph-neural-networks
Created 2019-03-18
486 commits to master branch, last one about a year ago
benedekrozemberczki
ClusterGCN benedekrozemberczki
136
787
gpl-3.0
20
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
gcn metis musae gemsec louvain pytorch deepwalk diff2vec node2vec graph2vec graphsage clustering deep-learning neural-network graph-clustering graph-convolution community-detection node-classification graph-neural-networks graph-convolutional-networks
Created 2019-06-17
144 commits to master branch, last one 2 years ago
benedekrozemberczki
datasets benedekrozemberczki
84
611
mit
14
A repository of pretty cool datasets that I collected for network science and machine learning research.
gcn gnn dataset deepwalk node2vec benchmark graph2vec data-science node-embedding graph-embedding link-prediction network-science machine-learning network-analysis graph-convolution network-embedding community-detection node-classification graph-neural-network dimensionality-reduction
Created 2019-04-07
335 commits to master branch, last one 8 months ago
qitianwu
DIFFormer qitianwu
32
298
unknown
11
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
pytorch iclr2023 attention diffusion large-graph transformer graph-transformer pytorch-geometric diffusion-equation node-classification text-classification image-classification graph-neural-networks geometric-deep-learning pytorch-geometric-temporal spatial-temporal-forecasting
Created 2023-03-01
14 commits to main branch, last one about a year ago
qitianwu
NodeFormer qitianwu
28
293
unknown
4
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
pytorch large-graph neurips-2022 graph-transformer pytorch-geometric node-classification relational-learning text-classification image-classification graph-neural-networks graph-structure-learning
Created 2022-11-04
29 commits to main branch, last one 8 months ago
benedekrozemberczki
SGCN benedekrozemberczki
58
268
gpl-3.0
12
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
gcn gpt2 gpt3 sgcn pytorch deepwalk node2vec graphsage transformer deep-learning neural-network signed-network graph-attention graph-embedding machine-learning graph-convolution network-embedding pytorch-geometric node-classification graph-neural-networks
Created 2018-12-07
135 commits to master branch, last one about a year ago
benedekrozemberczki
SEAL-CI benedekrozemberczki
43
208
gpl-3.0
10
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
mengliu1998
DeeperGNN mengliu1998
33
154
gpl-3.0
7
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
node-classification graph-neural-networks geometric-deep-learning semi-supervised-learning
Created 2020-06-01
64 commits to master branch, last one 2 years ago
snap-stanford
GIB snap-stanford
24
128
mit
46
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
robustness node-classification graph-neural-networks information-bottleneck representation-learning
Created 2020-06-11
5 commits to master branch, last one about a year ago
thiviyanT
torch-rgcn thiviyanT
17
119
mit
5
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
link-prediction relational-graphs node-classification graph-neural-network graph-convolutional-network
Created 2020-05-19
130 commits to master branch, last one 3 years ago
CRIPAC-DIG
H-GCN CRIPAC-DIG
27
118
mit
5
[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
network-mining machine-learning hierarchical-models node-classification graph-neural-networks semi-supervised-learning graph-convolutional-networks
Created 2019-06-11
6 commits to master branch, last one 7 months ago
BorgwardtLab
TOGL BorgwardtLab
23
117
bsd-3-clause
9
Topological Graph Neural Networks (ICLR 2022)
pytorch iclr2022 graph-learning machine-learning pytorch-geometric node-classification persistent-homology graph-classification
Created 2021-01-11
286 commits to main branch, last one 2 years ago
Dru-Mara
EvalNE Dru-Mara
26
106
mit
6
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
graphs python library networks benchmark graph-api evaluation data-mining research-tool graph-embedding link-prediction sign-prediction graph-algorithms network-embedding benchmark-framework node-classification network-reconstruction representation-learning multilabel-classification graph-representation-learning
Created 2018-12-22
47 commits to master branch, last one about a year ago
benedekrozemberczki
walklets benedekrozemberczki
22
105
gpl-3.0
9
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
gensim walklet deepwalk graphlet node2vec word2vec embedding multiscale graph-mining deep-learning dont-walk-skip node-embedding word-embedding edge-prediction graph-embedding machine-learning graph-convolution node-classification graph-neural-networks dimensionality-reduction
Created 2018-08-09
97 commits to master branch, last one about a year ago
GemsLab
H2GCN GemsLab
16
97
unknown
4
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
graphs signac heterophily neurips-2020 node-classification graph-neural-networks
Created 2020-10-16
9 commits to master branch, last one 2 years ago
jhljx
CTGCN jhljx
28
95
mit
4
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
dynamic-graphs graph-embedding link-prediction network-embedding edge-classification node-classification graph-neural-network graph-neural-networks dynamic-graph-algorithm dynamic-graph-embedding temporal-graph-networks dynamic-graph-processing graph-embedding-approaches graph-centrality-prediction graph-convolutional-network graph-representation-learning
Created 2020-01-17
101 commits to master branch, last one about a year ago
JoonHyung-Park
GraphENS JoonHyung-Park
7
77
mit
1
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)
pytorch node-classification graph-neural-networks
Created 2022-03-14
15 commits to main branch, last one about a year ago
benedekrozemberczki
TENE benedekrozemberczki
17
73
gpl-3.0
4
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
asne tadw pytorch deepwalk node2vec tensorflow deep-learning node-embedding graph-embedding machine-learning graph-convolution network-embedding feature-extraction node-classification pattern-recognition attributed-embedding graph-neural-network matrix-decomposition matrix-factorization implicit-factorization
Created 2018-12-06
45 commits to master branch, last one 2 years ago
qitianwu
GraphOOD-GNNSafe qitianwu
5
73
unknown
4
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
pytorch large-graph deep-learning trustworthy-ai anamoly-detection label-propagation outlier-detection pytorch-geometric distribution-shift node-classification graph-neural-networks artificial-intelligence geometric-deep-learning out-of-distribution-detection out-of-distribution-generalization
Created 2023-01-24
15 commits to main branch, last one about a year ago
berlincho
RGCN-pytorch berlincho
14
68
unknown
2
Pytorch implementation of Relational GCN for node classification
bgs gcn gnn aifb rgcn mutag pytorch node-classification pytorch-implementation graph-convolutional-networks graph-representation-learning
Created 2020-09-24
7 commits to master branch, last one 3 years ago
benedekrozemberczki
PDN benedekrozemberczki
11
57
gpl-3.0
2
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
gcn gnn bert gpt-3 pytorch deepwalk graph2vec molecules multiplex pathfinder transformer data-science deep-learning cheminformatics message-passing network-science node-classification graph-classification graph-neural-network neural-message-passing
Created 2021-02-05
77 commits to main branch, last one about a year ago
Graph-COM
GraphMaker Graph-COM
6
52
mit
2
[TMLR] "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
ddpm pytorch social-network network-science generative-model graph-generation node-classification graph-neural-networks synthetic-data-generation
Created 2023-10-04
110 commits to main branch, last one 2 months ago
joisino
laf joisino
6
49
mit
3
Code for "Training-free Graph Neural Networks and the Power of Labels as Features" (TMLR 2024)
gnn pytorch deep-learning machine-learning label-propagation node-classification graph-neural-networks transductive-learning
Created 2024-08-15
2 commits to main branch, last one 3 months ago
daiquocnguyen
QGNN daiquocnguyen
8
47
mit
3
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
quaternion node-embeddings graph-embeddings hamilton-product quaternion-algebra node-classification text-classification graph-classification graph-neural-networks graph-representation-learning
Created 2020-03-12
62 commits to master branch, last one 2 years ago
benedekrozemberczki
FEATHER benedekrozemberczki
13
45
mit
3
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
graph pytorch deepwalk networkx node2vec graph2vec tensorflow data-mining graph-kernel deep-learning neural-network node-embedding graph-embedding machine-learning graph-convolution network-embedding node-classification deep-neural-networks graph-classification representation-learning
Created 2020-02-17
139 commits to master branch, last one about a year ago
ytchx1999
PyG-OGB-Tricks ytchx1999
4
36
mit
1
Bags of Tricks in OGB (node classification) with GCNs.
ogb gnns torch-geometric node-classification open-graph-benchmark residual-connections graph-neural-networks graph-convolutional-networks
Created 2021-04-20
33 commits to main branch, last one 3 years ago