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Search results for python node classification
node-classification
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33 search results found
Clustergcn
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691
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Sgcn
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253
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Difformer
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204
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Seal Ci
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201
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Graph Representation Learning
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168
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
Deepergnn
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138
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Bionev
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111
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Walklets
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96
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Evalne
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91
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
Ctgcn
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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
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71
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Graphens
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59
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)
Pdn
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51
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
H2gcn
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50
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
Graphood Gnnsafe
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42
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Feather
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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
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28
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
Walk Transformer
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24
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
Demo Net
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18
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Graphmaker
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17
code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
Teg
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17
The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.
Lifelong Learning
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16
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
Caps2ne
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15
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
Pyg Ogb Tricks
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13
Bags of Tricks in OGB (node classification) with GCNs.
Orbitalfeatures
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13
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
Erase
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12
[Arxiv-2023] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"
Gripnet
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11
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs (PatternRecognit, 2023)
Versatile Embeddings
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11
Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE
Torch Rgcn
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9
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
Mvpool
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7
Hierarchical Multi-View Graph Pooling with Structure Learning(TKDE-2021)
Rgcn Pytorch
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7
Pytorch implementation of Relational GCN for node classification
Force2vec
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6
Implementation of Force2Vec method for ICDM 2020 paper titled "Force2Vec: Parallel force-directed graph embedding"
Md Gnn
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5
Code for NCAA paper "Multi-level Disentanglement Graph Neural Network"
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