graph-representation-learning
There are 162 repositories under graph-representation-learning topic.
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep 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.
c2g-dev/city2graph
Transform geospatial relations into graph representations designed for spatial network analysis and Graph Neural Networks (GNNs).
HKUDS/Awesome-LLM4Graph-Papers
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
CRIPAC-DIG/GRACE
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
benedekrozemberczki/AttentionWalk
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
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/SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
benedekrozemberczki/Splitter
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (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.
mala-lab/Awesome-Deep-Graph-Anomaly-Detection
Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection
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.