CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
leaderboard pytorch link-prediction graph-embedding graph-classification node-classification graph-neural-networks gnn-model
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Feb 1, 2024 - Python
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node-classification
Here are 122 public repositories matching this topic...
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
deep-learning neural-network clustering community-detection pytorch deepwalk louvain metis graph-convolutional-networks gcn graph-clustering node2vec node-classification graphsage graph-neural-networks graph2vec diff2vec gemsec musae graph-convolution
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Nov 6, 2022 - Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
data-science benchmark machine-learning community-detection network-science deepwalk dataset dimensionality-reduction network-analysis network-embedding link-prediction gcn node2vec graph-embedding node-classification graph2vec node-embedding graph-convolution gnn graph-neural-network
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Mar 16, 2024
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
text-classification pytorch image-classification relational-learning node-classification graph-neural-networks pytorch-geometric graph-transformer large-graph graph-structure-learning neurips-2022
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Mar 4, 2024 - Jupyter Notebook
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
text-classification pytorch transformer image-classification attention diffusion diffusion-equation geometric-deep-learning node-classification graph-neural-networks pytorch-geometric spatial-temporal-forecasting graph-transformer large-graph iclr2023 pytorch-geometric-temporal
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Jun 24, 2025 - Python
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
machine-learning deep-learning neural-network pytorch deepwalk transformer network-embedding gcn node2vec graph-embedding node-classification graphsage graph-neural-networks graph-convolution graph-attention signed-network sgcn pytorch-geometric gpt2 gpt3
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Mar 18, 2023 - Python
[DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification
deep-learning semi-supervised-learning autoencoders network-embedding link-prediction graph-representation node-classification
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Jul 18, 2019 - Python
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
gae deepwalk matrix-factorization network-embedding link-prediction node2vec graph-embedding node-classification graph-embedding-methods struc2vec sdne graph-embeddings-evaluation biomedical-networks line-embedding graph-factorization biomedical-graphs
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Apr 14, 2020 - Python
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
deep-learning tensorflow machine-learning-algorithms pytorch deepwalk deep-learning-algorithms network-embedding active-learning graph-convolutional-networks gcn node2vec graph-embedding graph-classification active-learning-module node-classification graph-neural-networks graph-representation-learning graph-convolution gnn graph-neural-network
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Nov 6, 2022 - Python
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
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Oct 11, 2022 - Python
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
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Nov 29, 2022 - Jupyter Notebook
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
link-prediction graph-convolutional-network node-classification graph-neural-network relational-graphs
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Aug 11, 2021 - Python
Topological Graph Neural Networks (ICLR 2022)
machine-learning pytorch persistent-homology graph-classification node-classification graph-learning pytorch-geometric iclr2022
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Jun 10, 2022 - Python
[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
machine-learning semi-supervised-learning hierarchical-models graph-convolutional-networks node-classification graph-neural-networks network-mining
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Apr 25, 2024 - Python
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
python benchmark data-mining library graph-algorithms graphs evaluation research-tool networks representation-learning benchmark-framework graph-api network-embedding link-prediction multilabel-classification graph-embedding node-classification network-reconstruction graph-representation-learning sign-prediction
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Apr 1, 2024 - Python
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
machine-learning deep-learning word2vec deepwalk dimensionality-reduction gensim edge-prediction multiscale graph-mining embedding node2vec word-embedding graph-embedding node-classification graph-neural-networks node-embedding walklet graphlet dont-walk-skip graph-convolution
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Mar 18, 2023 - Python
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
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Jun 18, 2025 - Python
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
edge-classification network-embedding link-prediction dynamic-graph-algorithm graph-embedding graph-convolutional-network node-classification graph-neural-networks graph-representation-learning dynamic-graphs graph-neural-network dynamic-graph-embedding dynamic-graph-processing temporal-graph-networks graph-embedding-approaches graph-centrality-prediction
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May 31, 2023 - Python
GraphENS: Neigr-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)
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Oct 25, 2023 - Python
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
deep-learning pytorch artificial-intelligence outlier-detection label-propagation geometric-deep-learning node-classification graph-neural-networks anamoly-detection pytorch-geometric out-of-distribution-detection large-graph trustworthy-ai distribution-shift out-of-distribution-generalization
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Jul 27, 2023 - Python
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