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The Top 23 Python Node Classification Open Source Projects

Open source projects categorized as Python Node Classification
Categories > Node Classification
Clustergcn ⭐ 691
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
most recent commit a year ago
Sgcn ⭐ 253
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
most recent commit a year ago
Difformer ⭐ 204
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
most recent commit 10 months ago
Seal Ci ⭐ 201
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
most recent commit a year ago
Graph Representation Learning ⭐ 168
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
most recent commit 5 years ago
Deepergnn ⭐ 138
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
most recent commit 2 years ago
Bionev ⭐ 111
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
most recent commit 4 years ago
Walklets ⭐ 96
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
most recent commit a year ago
Evalne ⭐ 91
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
total releases 6most recent commit a year ago
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
most recent commit a year ago
Tene ⭐ 71
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
most recent commit 2 years ago
Graphens ⭐ 59
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)
most recent commit 6 months ago
Pdn ⭐ 51
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
most recent commit a year ago
H2gcn ⭐ 50
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
most recent commit 2 years ago
Graphood Gnnsafe ⭐ 42
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
most recent commit 9 months ago
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".
most recent commit a year ago
Qgnn ⭐ 28
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
most recent commit 2 years ago
Walk Transformer ⭐ 24
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
most recent commit 3 years ago
Demo Net ⭐ 18
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
most recent commit 3 years ago
Graphmaker ⭐ 17
code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
most recent commit 6 months ago
Teg ⭐ 17
The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.
most recent commit 5 months ago
Lifelong Learning ⭐ 16
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
most recent commit 7 months ago
Caps2ne ⭐ 15
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
most recent commit 3 years ago
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