Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for node classification
node-classification
x
43 search results found
Cogdl
⭐
1,671
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Clustergcn
⭐
691
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Datasets
⭐
521
A repository of pretty cool datasets that I collected for network science and machine learning research.
Sgcn
⭐
253
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Nodeformer
⭐
244
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
Seal Ci
⭐
206
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Difformer
⭐
204
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Graph Representation Learning
⭐
168
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
Deepergnn
⭐
138
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Gib
⭐
116
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
Bionev
⭐
111
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Walklets
⭐
96
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Evalne
⭐
91
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
Ctgcn
⭐
72
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
Tene
⭐
71
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Graphens
⭐
59
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)
Togl
⭐
55
Topological Graph Neural Networks (ICLR 2022)
Pdn
⭐
51
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
H2gcn
⭐
50
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
Graphood Gnnsafe
⭐
42
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Feather
⭐
39
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Qgnn
⭐
28
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
Walk Transformer
⭐
24
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
Demo Net
⭐
18
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Graphmaker
⭐
17
code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
Teg
⭐
17
The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.
Resolutions 2019
⭐
16
A list of data mining and machine learning papers that I implemented in 2019.
Lifelong Learning
⭐
16
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
Caps2ne
⭐
15
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
Pyg Ogb Tricks
⭐
13
Bags of Tricks in OGB (node classification) with GCNs.
Orbitalfeatures
⭐
13
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
Erase
⭐
12
[Arxiv-2023] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"
Versatile Embeddings
⭐
11
Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE
Graph Embedding Techniques
⭐
11
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
Gripnet
⭐
11
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs (PatternRecognit, 2023)
Torch Rgcn
⭐
9
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
Rgcn Pytorch
⭐
7
Pytorch implementation of Relational GCN for node classification
Graph_neural_network
⭐
7
Mvpool
⭐
7
Hierarchical Multi-View Graph Pooling with Structure Learning(TKDE-2021)
Metatne
⭐
7
Source code for NeurIPS 2020 paper "Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding"
Lnl Gnn
⭐
6
[IJCNN 2021] Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation
Force2vec
⭐
6
Implementation of Force2Vec method for ICDM 2020 paper titled "Force2Vec: Parallel force-directed graph embedding"
Md Gnn
⭐
5
Code for NCAA paper "Multi-level Disentanglement Graph Neural Network"
Related Searches
Python Node Classification (33)
Graph Neural Networks Node Classification (23)
1-43 of 43 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.