graph-representation-learning

benedekrozemberczki/awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

graphdeeplearning/benchmarking-gnns

Repository for benchmarking graph neural networks (JMLR 2023)

Accenture/AmpliGraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

dsgiitr/graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

tsinghua-fib-lab/GNN-Recommender-Systems

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

snap-stanford/pretrain-gnns

Strategies for Pre-training Graph Neural Networks

PyGCL/PyGCL

PyGCL: A PyTorch Library for Graph Contrastive Learning

acbull/pyHGT

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

rampasek/GraphGPS

Recipe for a General, Powerful, Scalable Graph Transformer

daiquocnguyen/Graph-Transformer

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

malllabiisc/CompGCN

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

hwwang55/GraphGAN

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

chaitjo/efficient-gnns

Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)

junxia97/awesome-pretrain-on-molecules

[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

acbull/GPT-GNN

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

benedekrozemberczki/MixHop-and-N-GCN

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

SXKDZ/awesome-self-supervised-learning-for-graphs

A curated list for awesome self-supervised learning for graphs.

HKUDS/Awesome-LLM4Graph-Papers

[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"

benedekrozemberczki/AttentionWalk

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

CRIPAC-DIG/GRACE

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

vijaydwivedi75/gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

BorgwardtLab/SAT

Official Pytorch code for Structure-Aware Transformer.

dmlc/GNNLens2

Visualization tool for Graph Neural Networks

kkteru/grail

Inductive relation prediction by subgraph reasoning, ICML'20

chaitjo/learning-tsp

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

htcr/sam_road

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

benedekrozemberczki/Splitter

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

benedekrozemberczki/SEAL-CI

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

mims-harvard/SubGNN

Subgraph Neural Networks (NeurIPS 2020)

CRIPAC-DIG/GCA

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

HannesStark/3DInfomax

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

vijaydwivedi75/lrgb

Long Range Graph Benchmark, NeurIPS 2022 Track on D&B

zlpure/awesome-graph-representation-learning

A curated list for awesome graph representation learning resources.

VGraphRNN/VGRNN

Variational Graph Recurrent Neural Networks - PyTorch

tencent-alchemy/Alchemy