Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: node-classification
THUDM/CogDL
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Language: Python - Size: 9.8 MB - Last synced: 5 days ago - Pushed: 4 months ago - Stars: 1,690 - Forks: 313
benedekrozemberczki/ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Language: Python - Size: 14.2 MB - Last synced: 15 days ago - Pushed: over 1 year ago - Stars: 776 - Forks: 133
GabrieleColapelle/Improving-GNNs-exploiting-information-of-graphs
Improving Heterogeneus Graph Transformer archiecture exploiting structural information of graph
Language: Jupyter Notebook - Size: 45.7 MB - Last synced: 16 days ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0
he-tiantian/PMP-GNNs
Pytorch implementation of Polarized message-passing graph neural networks published in Artificial Intelligence, 2024.
Language: Python - Size: 31.8 MB - Last synced: 17 days ago - Pushed: 18 days ago - Stars: 0 - Forks: 0
benedekrozemberczki/datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
Size: 91.4 MB - Last synced: 15 days ago - Pushed: 2 months ago - Stars: 586 - Forks: 87
eraseai/erase
[Arxiv-2023] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"
Language: Python - Size: 5.84 MB - Last synced: 24 days ago - Pushed: 25 days ago - Stars: 18 - Forks: 2
cf020031308/LI-GNN
Graph Equilibrium Networks: Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models
Language: Python - Size: 28.3 KB - Last synced: 25 days ago - Pushed: 25 days ago - Stars: 5 - Forks: 0
NSLab-CUK/Community-aware-Graph-Transformer
Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree biases in message-passing mechanism and developed by NS Lab @ CUK based on pure PyTorch backend.
Language: Python - Size: 179 KB - Last synced: 11 days ago - Pushed: 28 days ago - Stars: 9 - Forks: 2
NamyongPark/forwardgnn-datasplits
This repository provides data splits for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).
Size: 131 MB - Last synced: 28 days ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0
facebookresearch/forwardgnn
This repository provides code for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).
Language: Python - Size: 425 KB - Last synced: 28 days ago - Pushed: 28 days ago - Stars: 1 - Forks: 0
Andrewwango/neo4j-demos
Demonstrating and visualising graph data science and ML using neo4j and GDS with the Northwind and Cora datasets
Language: Jupyter Notebook - Size: 6.85 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0
benedekrozemberczki/SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Language: Python - Size: 5.08 MB - Last synced: 15 days ago - Pushed: over 1 year ago - Stars: 206 - Forks: 49
snap-stanford/GIB
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
Language: Jupyter Notebook - Size: 211 KB - Last synced: 29 days ago - Pushed: over 1 year ago - Stars: 119 - Forks: 25
Dru-Mara/EvalNE
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
Language: Python - Size: 849 KB - Last synced: about 1 month ago - Pushed: about 2 months ago - Stars: 102 - Forks: 26
thiviyanT/torch-rgcn
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
Language: Python - Size: 14 MB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 107 - Forks: 15
benedekrozemberczki/PDN
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Language: Python - Size: 4.8 MB - Last synced: 15 days ago - Pushed: over 1 year ago - Stars: 57 - Forks: 11
benedekrozemberczki/SGCN
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Language: Python - Size: 13 MB - Last synced: 15 days ago - Pushed: about 1 year ago - Stars: 267 - Forks: 59
xiangyue9607/BioNEV
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Language: Python - Size: 27 MB - Last synced: about 1 month ago - Pushed: about 4 years ago - Stars: 218 - Forks: 72
mr-ravin/Node-Classification-on-Cora-Dataset-using-GNN-in-Pytorch 📦
Node Classification on large Knowledge Graphs of Cora Dataset using Graph Neural Network (GNN) in Pytorch.
Language: Python - Size: 557 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0
benedekrozemberczki/walklets
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Language: Python - Size: 2.99 MB - Last synced: 15 days ago - Pushed: about 1 year ago - Stars: 101 - Forks: 22
BorgwardtLab/TOGL
Topological Graph Neural Networks (ICLR 2022)
Language: Python - Size: 1.61 MB - Last synced: 2 months ago - Pushed: almost 2 years ago - Stars: 98 - Forks: 18
graphprojects/CM-GCL
Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
Language: Python - Size: 3.58 MB - Last synced: 2 months ago - Pushed: over 1 year ago - Stars: 16 - Forks: 2
qitianwu/GraphOOD-GNNSafe
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Language: Python - Size: 2.37 MB - Last synced: about 2 months ago - Pushed: 10 months ago - Stars: 64 - Forks: 4
qitianwu/NodeFormer
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
Language: Jupyter Notebook - Size: 353 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 255 - Forks: 25
psycoplankton/Fuzzy-Representation-Learning
A Fuzzy Pre-procressing layer which can be used with embeddings to enrich the information content.
Language: Jupyter Notebook - Size: 17.8 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
gulabpatel/Graph_Neural_Network
Language: Jupyter Notebook - Size: 14.4 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 8 - Forks: 0
benedekrozemberczki/FEATHER
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Language: Python - Size: 14.3 MB - Last synced: 15 days ago - Pushed: about 1 year ago - Stars: 43 - Forks: 11
benedekrozemberczki/TENE
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Language: Python - Size: 1.93 MB - Last synced: 15 days ago - Pushed: over 1 year ago - Stars: 71 - Forks: 17
llan-ml/MetaTNE
Source code for NeurIPS 2020 paper "Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding"
Language: Python - Size: 1.97 MB - Last synced: 3 months ago - Pushed: over 3 years ago - Stars: 10 - Forks: 0
qitianwu/DIFFormer
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Language: Python - Size: 80.1 KB - Last synced: 3 months ago - Pushed: 10 months ago - Stars: 264 - Forks: 29
AlbertoFormaggio1/fine_tuning_classification_prediction_GNN
Empirical Research over the possible advantages of pretraining a Graph Neural Network for Classification by using Link Prediction. We used GCN, GAT and GraphSAGE with minibatch generation. Done for the Learning From Networks course taught by professor Fabio Vandin at the University of Padova
Language: Python - Size: 867 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
vuptran/graph-representation-learning
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
Language: Python - Size: 17.7 MB - Last synced: 3 months ago - Pushed: almost 5 years ago - Stars: 254 - Forks: 68
Graph-COM/GraphMaker
code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
Language: Python - Size: 1.85 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 24 - Forks: 3
nicolas-hbt/versatile-embeddings
Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE
Language: Python - Size: 898 MB - Last synced: 4 months ago - Pushed: 7 months ago - Stars: 14 - Forks: 3
LirongWu/L2A
Code for ECML-PKDD 2023 paper "Learning to Augment Graph Structure for both Homophily and Heterophily Graphs"
Language: Python - Size: 3.06 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 3 - Forks: 0
benedekrozemberczki/OrbitalFeatures
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
Language: Python - Size: 771 KB - Last synced: 15 days ago - Pushed: almost 2 years ago - Stars: 20 - Forks: 11
sung-won-kim/TEG
The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.
Language: Python - Size: 69.3 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 17 - Forks: 0
ghimohammadr/NACFormer_MS-
NACFormer_MS model
Language: Python - Size: 521 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0
GraphResearcher/HyGCL-DC
Official source code of ICDM2023 paper "Hypergraph Contrastive Learning for Drug Trafficking Community Detection".
Language: Python - Size: 25.7 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 2 - Forks: 0
LamineTourelab/Machine-Learning-with-Graphs Fork of LeilaOutem/Stanford_coLabs
Graphs are a general language for describing and analyzing entities with relations/interactions.
Language: Jupyter Notebook - Size: 1.39 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
mengliu1998/DeeperGNN
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Language: Python - Size: 72.3 KB - Last synced: 6 months ago - Pushed: over 1 year ago - Stars: 150 - Forks: 33
benedekrozemberczki/resolutions-2019
A list of data mining and machine learning papers that I implemented in 2019.
Size: 33.2 KB - Last synced: 15 days ago - Pushed: over 4 years ago - Stars: 20 - Forks: 10
SiyuanHuangSJTU/SubTree-Attention
Official implementation for "Tailoring Self-Attention for Graph via Rooted Subtrees" (NeurIPS2023)
Language: Python - Size: 49.9 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0
LUMIA-Group/SubTree-Attention
Official implementation for "Tailoring Self-Attention for Graph via Rooted Subtrees" (NeurIPS2023)
Language: Python - Size: 49.9 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0
JoonHyung-Park/GraphENS
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)
Language: Python - Size: 383 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 59 - Forks: 5
guaiqihen/MVE
This project is the code for our IP&M Journal paper, Multi-view Enhanced Zero-Shot Node Classification, which is the optimized and advanced version of our IJCAI paper, KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.
Language: Python - Size: 73.8 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 2 - Forks: 0
SwaksharDeb/GA-GWNN
Code for PRL paper: "GA-GWNN: Generalized Adaptive Graph Wavelet Neural Network"
Language: Python - Size: 60.5 KB - Last synced: 26 days ago - Pushed: 9 months ago - Stars: 0 - Forks: 0
TimKong21/MEMGRAPH-Graph-Analytics-with-NetworkX
Graph Analytics delivered by MEMGRAPH academy
Language: Jupyter Notebook - Size: 20.1 MB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
AnonymousTEA/SEA-GWNN
This is a pytorch implementation of the paper "SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network"
Language: Python - Size: 490 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0
SkyRiver-2000/EE226-Final-Project
Final assignment of EE226 course in SJTU by Group 12
Language: Python - Size: 49.7 MB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0
cmavro/GRAD
[ECML-PKDD 2023] Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
Language: Python - Size: 2.98 MB - Last synced: 9 months ago - Pushed: about 1 year ago - Stars: 9 - Forks: 3
XsLangley/CoCoS
This is the code repository of AAAI2022 paper 'CoCoS: Enhancing Semi-Supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing'
Language: Python - Size: 1.59 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 2 - Forks: 2
u1234x1234/KDD-Cup-2020-AutoGraph-Challenge
8th place solution to https://www.automl.ai/competitions/3
Language: Python - Size: 80.1 KB - Last synced: 10 months ago - Pushed: almost 4 years ago - Stars: 2 - Forks: 2
TAU-MLwell/TREE-G---Decision-Trees-with-Dynamic-Graph-Features
Decision trees for graph data. Implementation of the model from the paper "Decision Trees with Dynamic Graph Features".
Language: Python - Size: 143 KB - Last synced: 9 months ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0
lgalke/lifelong-learning
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
Language: Python - Size: 142 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 16 - Forks: 4
forkkr/LnL-GNN
[IJCNN 2021] Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation
Language: Jupyter Notebook - Size: 799 KB - Last synced: 10 months ago - Pushed: 11 months ago - Stars: 7 - Forks: 1
reshalfahsi/node-classification
Graph Neural Network for Node Classification
Language: Jupyter Notebook - Size: 11.4 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0
ArunSehrawat/Node_Classification_with_Graph_Neural_Network
Language: Jupyter Notebook - Size: 421 KB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0
colflip/gnns_fewshot
code implementation of GNNs in few-shot learning: GCN, GAT, GraphSAGE to the node classification task.
Language: Python - Size: 129 KB - Last synced: 3 days ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0
jwu4sml/GRADE
Non-IID Transfer Learning on Graphs
Language: Python - Size: 13.2 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 4 - Forks: 1
jhljx/CTGCN
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
Language: Python - Size: 25.1 MB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 72 - Forks: 23
farkoo/GNN-Citations
Node Classification with Graph Neural Networks
Language: Jupyter Notebook - Size: 1.16 MB - Last synced: 11 months ago - Pushed: over 2 years ago - Stars: 3 - Forks: 2
jwu4sml/DEMO-Net
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Language: Python - Size: 106 KB - Last synced: 12 months ago - Pushed: almost 3 years ago - Stars: 26 - Forks: 8
berlincho/RGCN-pytorch
Pytorch implementation of Relational GCN for node classification
Language: Python - Size: 239 KB - Last synced: 12 months ago - Pushed: about 3 years ago - Stars: 50 - Forks: 11
SirArthur7/GCN-ISI-Summer-School
ISI 7th Summer School Project on implementing 2-layer GCN on CORA, CiteSeer, PubMed datasets, using PyTorch, and analyzing Oversmoothing by going deep upto 1024 layers
Language: Jupyter Notebook - Size: 8.88 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0
jwu4sml/Graph-Embedding-Techniques
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
Size: 104 KB - Last synced: 12 months ago - Pushed: over 4 years ago - Stars: 31 - Forks: 11
PinaxX/KIN
KIN (K Immediate Neighbors) is a machine learning algorithm inspired by KNN (K Nearest Neighbors) which has been adjusted to graph-structured data.
Language: Python - Size: 154 KB - Last synced: 14 days ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0
Toloka/TolokerGraph
Toloker Graph: Interaction of Crowd Annotators
Size: 1.66 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 4 - Forks: 0
ytchx1999/PyG-OGB-Tricks
Bags of Tricks in OGB (node classification) with GCNs.
Language: Python - Size: 1.01 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 30 - Forks: 4
NYXFLOWER/GripNet
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs (PatternRecognit, 2023)
Language: Python - Size: 88 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 11 - Forks: 2
daiquocnguyen/QGNN
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
Language: Python - Size: 124 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 35 - Forks: 9
alescrnjar/MolAsNet
Graph Convolutional Neural Network for Atom Classification
Language: Python - Size: 325 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0
gganssle/data-day-tx-2018
Evaluation of gender bias in a graph-based classification algorithm.
Language: Jupyter Notebook - Size: 23.6 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 7 - Forks: 4
cszhangzhen/MVPool
Hierarchical Multi-View Graph Pooling with Structure Learning(TKDE-2021)
Language: Python - Size: 1.26 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 12 - Forks: 0
GemsLab/H2GCN
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
Language: Python - Size: 19.9 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 73 - Forks: 15
abpaudel/floorplan-graph
Room Classification on Floor Plan Graphs using Graph Neural Networks
Language: Python - Size: 38.1 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 4 - Forks: 1
wzsong17/Signed-Network-Embedding
Language: Python - Size: 625 KB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 16 - Forks: 3
LirongWu/MD-GNN
Code for NCAA paper "Multi-level Disentanglement Graph Neural Network"
Language: Python - Size: 86 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 7 - Forks: 0
asarigun/mma
Official Implementation of Multi-Masked Aggregators for Graph Neural Networks in Pytorch and PyTorch Geometric
Language: Python - Size: 5.06 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0
HipGraph/Force2Vec
Implementation of Force2Vec method for ICDM 2020 paper titled "Force2Vec: Parallel force-directed graph embedding"
Language: Python - Size: 4.09 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 10 - Forks: 8
MIND-Lab/DAGE
Deep Attributed Graph Embedding
Language: Python - Size: 728 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
daiquocnguyen/Caps2NE
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
Language: Python - Size: 170 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 20 - Forks: 4
AIMedLab/BioNEV Fork of ping-zhang/BioNEV
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
Size: 27 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0
salimandre/graph-clustering
unsupervised clustering, generative model, mixed membership stochastic block model, kmeans, spectral clustering, point cloud data
Language: Python - Size: 4.63 MB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 8 - Forks: 2
morkev/airport-connection-visualization
3D visualization of all airport connections.
Size: 14.4 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0
HipGraph/MarkovGNN
PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Markov Diffusion"
Language: Python - Size: 1.56 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 6 - Forks: 3
Aman-Gupta-Ji/Amazon-ML-Challenge Fork of akshatprogrammer/Amazon-ML-Challenge
Product Browse Node Classification
Language: Jupyter Notebook - Size: 824 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0
colflip/graph_datasets
datasets for graph learning,···\
Size: 2.93 KB - Last synced: 11 months ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0
daiquocnguyen/Walk-Transformer
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
Language: Python - Size: 86.3 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 27 - Forks: 6
xnuohz/ARMA-dgl
A DGL implementation of "Graph Neural Networks with convolutional ARMA filters". (PAMI 2021)
Language: Python - Size: 23.4 KB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 9 - Forks: 1
jwu4sml/ImVerde
ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation
Language: Python - Size: 104 KB - Last synced: 12 months ago - Pushed: over 4 years ago - Stars: 6 - Forks: 0
Akomand/BGCN_TORCH
PyTorch implementation of Bayesian Graph Convolutional Networks using Neighborhood Random Walk Sampling to supplement my Honors Thesis.
Language: Python - Size: 7.41 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0
jwu4sml/MARINE
Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy
Language: Python - Size: 236 KB - Last synced: 12 months ago - Pushed: almost 3 years ago - Stars: 2 - Forks: 1
comojin1994/GCN
Graph Convolutional Network
Language: Jupyter Notebook - Size: 10.7 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 1
HKUST-KnowComp/vertex-reinforced-random-walk
Code for "Vertex-reinforced Random Walk for Network Embedding"
Language: Python - Size: 8.83 MB - Last synced: 19 days ago - Pushed: about 4 years ago - Stars: 0 - Forks: 2