Projects in Awesome Lists tagged with graph-representation-learning

https://github.com/naganandy/graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

conference-publications deep-learning graph graph-convolutional-networks graph-neural-networks graph-representation-learning neural-networks

Last synced: 25 Apr 2025

https://github.com/graphdeeplearning/benchmarking-gnns

Repository for benchmarking graph neural networks (JMLR 2023)

benchmark-framework deep-learning dgl graph-deep-learning graph-neural-networks graph-representation-learning pytorch

Last synced: 15 May 2025

https://github.com/accenture/ampligraph

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

graph-embeddings graph-representation-learning knowledge-graph knowledge-graph-embeddings machine-learning relational-learning representation-learning

Last synced: 13 May 2025

https://github.com/Accenture/AmpliGraph

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

graph-embeddings graph-representation-learning knowledge-graph knowledge-graph-embeddings machine-learning relational-learning representation-learning

Last synced: 03 Apr 2025

https://github.com/dsgiitr/graph_nets

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

chebyshev-polynomials deepwalk graph-attention-networks graph-convolutional-networks graph-embedding graph-representation-learning graph-sage node-embedding pytorch

Last synced: 14 May 2025

https://github.com/tsinghua-fib-lab/GNN-Recommender-Systems

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

gcn gnn graph-convolutional-networks graph-neural-networks graph-representation-learning information-retrieval recommendation recommendation-algorithms recommendation-system recommender-system

Last synced: 06 May 2025

https://github.com/snap-stanford/pretrain-gnns

Strategies for Pre-training Graph Neural Networks

graph-neural-networks graph-representation-learning

Last synced: 01 May 2025

https://github.com/PyGCL/PyGCL

PyGCL: A PyTorch Library for Graph Contrastive Learning

contrastive-learning graph-contrastive-learning graph-representation-learning machine-learning

Last synced: 06 May 2025

https://github.com/acbull/pyHGT

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

graph-neural-networks graph-representation-learning heterogeneous-network network-embedding transformer

Last synced: 21 Jul 2025

https://github.com/c2g-dev/city2graph

Transform geospatial relations into graphs for Graph Neural Networks and network analysis

geoai geographic-data-science geographical-information-system geospatial geospatial-analysis gis gnn graph-neural-networks graph-representation-learning mobility network-analysis overturemaps pyg python pytorch pytorch-geometric spatial-analysis transportation urban-morphometrics

Last synced: 01 Apr 2026

https://github.com/rampasek/GraphGPS

Recipe for a General, Powerful, Scalable Graph Transformer

graph-neural-network graph-representation-learning graph-transformer long-range-dependence

Last synced: 21 Jul 2025

https://github.com/daiquocnguyen/Graph-Transformer

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

graph-classification graph-deep-learning graph-embeddings graph-machine-learning graph-neural-networks graph-representation-learning graph-transformer node-embeddings self-attention text-classification transformer transformer-models

Last synced: 27 Mar 2025

https://github.com/Malllabiisc/CompGCN

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

deep-learning graph-convolutional-networks graph-representation-learning iclr2020 link-prediction pytorch relation-embeddings

Last synced: 21 Jul 2025

https://github.com/chaitjo/efficient-gnns

Code and resources on scalable and efficient Graph Neural Networks

contrastive-learning efficient-deep-learning efficient-neural-networks gnn graph-convolutional-networks graph-neural-networks graph-representation-learning knowledge-distillation scalable-deep-learning

Last synced: 05 Apr 2025

https://github.com/acbull/GPT-GNN

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

graph-neural-networks graph-representation-learning pre-training self-supervised-learning

Last synced: 21 Jul 2025

https://github.com/benedekrozemberczki/mixhop-and-n-gcn

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

convolutional convolutional-layers convolutional-neural-networks deep-learning deepwalk gcn graph-attention graph-attention-networks graph-convolution graph-representation-learning machine-learning mixhop multi-scale ngcn node2vec pytorch pytorch-cnn tensorflow walklet walklets

Last synced: 06 Apr 2025

https://github.com/benedekrozemberczki/MixHop-and-N-GCN

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

convolutional convolutional-layers convolutional-neural-networks deep-learning deepwalk gcn graph-attention graph-attention-networks graph-convolution graph-representation-learning machine-learning mixhop multi-scale ngcn node2vec pytorch pytorch-cnn tensorflow walklet walklets

Last synced: 17 Apr 2025

https://github.com/benedekrozemberczki/attentionwalk

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

attention deep-learning deepwalk graph-attention graph-neural-networks graph-representation-learning implicit-factorization machine-learning matrix-factorization neurips neurips-2018 nips node2vec pytorch sklearn structural-attention tensorflow torch walklet word2vec

Last synced: 07 Apr 2025

https://github.com/benedekrozemberczki/AttentionWalk

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

attention deep-learning deepwalk graph-attention graph-neural-networks graph-representation-learning implicit-factorization machine-learning matrix-factorization neurips neurips-2018 nips node2vec pytorch sklearn structural-attention tensorflow torch walklet word2vec

Last synced: 03 Apr 2025

https://github.com/borgwardtlab/sat

Official Pytorch code for Structure-Aware Transformer.

graph-neural-networks graph-representation-learning graph-transformer icml-2022

Last synced: 09 Apr 2025

https://github.com/vijaydwivedi75/gnn-lspe

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

attention geometric-deep-learning gnn gnn-lspe graph-deep-learning graph-neural-networks graph-representation-learning graph-transformer graphs lspe message-passing molecules positional-encoding representation-learning transformer-networks transformers

Last synced: 03 Apr 2025

https://github.com/dmlc/gnnlens2

Visualization tool for Graph Neural Networks

deep-learning dgl explainability graph-neural-networks graph-representation-learning graph-visualization pytorch visualization xai

Last synced: 28 Oct 2025

https://github.com/benedekrozemberczki/splitter

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

clustering community-detection deep-learning deep-neural-network deepwalk ego-splitting factorization gensim graph-embedding graph-neural-network graph-representation-learning implicit-factorization machine-learning network-embedding node-embedding node2vec overlapping-community-detection pytorch word-vector word2vec

Last synced: 07 May 2025

https://github.com/benedekrozemberczki/Splitter

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

clustering community-detection deep-learning deep-neural-network deepwalk ego-splitting factorization gensim graph-embedding graph-neural-network graph-representation-learning implicit-factorization machine-learning network-embedding node-embedding node2vec overlapping-community-detection pytorch word-vector word2vec

Last synced: 17 Apr 2025

https://github.com/benedekrozemberczki/seal-ci

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

active-learning active-learning-module deep-learning deep-learning-algorithms deepwalk gcn gnn graph-classification graph-convolution graph-convolutional-networks graph-embedding graph-neural-network graph-neural-networks graph-representation-learning machine-learning-algorithms network-embedding node-classification node2vec pytorch tensorflow

Last synced: 06 May 2025

https://github.com/benedekrozemberczki/SEAL-CI

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

active-learning active-learning-module deep-learning deep-learning-algorithms deepwalk gcn gnn graph-classification graph-convolution graph-convolutional-networks graph-embedding graph-neural-network graph-neural-networks graph-representation-learning machine-learning-algorithms network-embedding node-classification node2vec pytorch tensorflow

Last synced: 27 Mar 2025

https://github.com/chaitjo/learning-tsp

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

combinatorial-optimization deep-learning graph-neural-networks graph-representation-learning pytorch transformers travelling-salesman-problem tsp

Last synced: 22 Aug 2025

https://github.com/hannesstark/3dinfomax

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

3d dgl-graph gnn graph graph-neural-networks graph-representation-learning molecules pytorch-geometric self-supervised-learning

Last synced: 07 Mar 2026

https://github.com/vijaydwivedi75/lrgb

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

graph-benchmark graph-datasets graph-neural-networks graph-representation-learning graph-transformer long-range long-range-dependence

Last synced: 21 Aug 2025

https://github.com/htcr/sam_road

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

autonomous-driving computer-vision cvpr2024 graph graph-neural-networks graph-representation-learning mapping navigation remote-sensing scene-graph scene-graph-generation segment-anything segmentation-models transformers

Last synced: 12 Jan 2026

https://github.com/Dru-Mara/EvalNE

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

benchmark benchmark-framework data-mining evaluation graph-algorithms graph-api graph-embedding graph-representation-learning graphs library link-prediction multilabel-classification network-embedding network-reconstruction networks node-classification python representation-learning research-tool sign-prediction

Last synced: 01 May 2025

https://github.com/JinheonBaek/GMT

Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)

graph graph-classification graph-multiset-pooling graph-multiset-transformer graph-neural-networks graph-pooling graph-reconstruction graph-representation graph-representation-learning graph-transformer pytorch

Last synced: 21 Jul 2025

https://github.com/chaitjo/gated-graph-transformers

Transformers are Graph Neural Networks!

deep-learning graph-neural-networks graph-representation-learning pytorch transformers

Last synced: 16 Jul 2025

https://github.com/kimmeen/neural-temporal-walks

[NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"

dynamic-graph-embedding dynamic-graphs graph-neural-networks graph-representation-learning

Last synced: 23 Apr 2025

https://github.com/hkuds/gformer

[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"

collaborative-filtering graph-neural-networks graph-representation-learning graph-transformer recommender-systems

Last synced: 04 Jul 2025

https://github.com/hkuds/graphst

[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"

contrastive-learning graph-neural-networks graph-representation-learning spatio-temporal-prediction urban-computing

Last synced: 06 Sep 2025

https://github.com/gentlezhu/shift-robust-gnns

"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')

distribution-shift graph-neural-networks graph-representation-learning network-embeddings

Last synced: 08 Nov 2025

https://github.com/daiquocnguyen/GNN-ReGVD

Revisiting Graph Neural Networks for Vulnerability Detection (ICSE 2022) (Pytorch)

cyber-security graph-neural-networks graph-representation-learning software-vulnerability vulnerability-detection vulnerability-identification

Last synced: 07 May 2025

https://github.com/thudm/graph-reading-group

Daily reading group on graphs at KEG

graph-neural-networks graph-representation-learning paper-list

Last synced: 31 Jan 2026

https://github.com/monarch-initiative/embiggen

🍇 Embiggen is the Python Graph Representation learning, Prediction and Evaluation submodule of the GRAPE library.

graph graph-representation-learning machine-learning

Last synced: 29 Oct 2025

https://github.com/nphdang/GE-FSG

Graph Embedding via Frequent Subgraphs

deep-learning doc2vec frequent-subgraphs graph graph-classification graph-embedding graph-representation-learning machine-learning word2vec

Last synced: 27 Mar 2025

https://github.com/trustagi-lab/merit

[IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".

graph-neural-networks graph-representation-learning graph-self-supervised-learning self-supervised-distillation

Last synced: 14 Apr 2025

https://github.com/bayer-science-for-a-better-life/phc-gnn

Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

deep-learning graph-classification graph-neural-networks graph-representation-learning hypercomplex neural-message-passing quaternion

Last synced: 07 Apr 2026

https://github.com/borgwardtlab/neuralwalker

Official Pytorch implementation of NeuralWalker

graph-neural-networks graph-representation-learning graph-transformer random-walk state-space-models

Last synced: 14 Apr 2025

https://github.com/nyxflower/tip

TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Eﬀect Prediction (GRL@NeurIPS, 2019)

biography deep-learning drug gcn graph-embedding graph-neural-network graph-representation-learning knowledge-graph link-prediction multi-relational nerual-network polypharmacy protein pytorch pytorch-implementation side-effects tensor-factorization

Last synced: 23 Mar 2025

https://github.com/graph-com/surel

[VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.

graph-representation-learning open-graph-benchmark

Last synced: 27 Jul 2025

https://github.com/crisostomi/metric-few-shot-graph

Few-Shot Graph Classification via distance metric learning.

distance-metric-learning few-shot-classifcation few-shot-learning graph-classification graph-neural-networks graph-representation-learning

Last synced: 21 Apr 2025

https://github.com/zhengwang100/RECT

This is the source code of "Network Embedding with Completely-Imbalanced Labels". TKDE2020

graph-embedding graph-representation-learning network-embedding

Last synced: 17 Apr 2025

https://github.com/lirongwu/rfa-gnn

Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"

graph-algorithms graph-representation-learning heterogeneous-graph-learning heterophily-graph relation-learning

Last synced: 13 Apr 2025

https://github.com/maxuewei2/RiWalk

Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".

graph graph-algorithms graph-embedding graph-representation graph-representation-learning icdm network-embedding network-representation-learning representation-learning struc2vec structural-embedding

Last synced: 29 Apr 2025

https://github.com/graph-com/surel_plus

[VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.

graph-representation-learning open-graph-benchmark scalable-graph-learning

Last synced: 27 Jul 2025

https://github.com/zehong-wang/awesome-foundation-models-on-graphs

A collection of graph foundation models including papers, codes, and datasets.

data-augmentation deep-learning few-shot-learning foundation-models graph-classification graph-foundation-model graph-neural-networks graph-representation-learning knowlege-graph link-prediction machine-learning molecule node-classification node-embedding pre-training representation-learning self-supervised-learning transfer-learning unsupervised-learning zero-shot-learning

Last synced: 17 Apr 2025

https://github.com/fork123aniket/end-to-end-node-and-graph-classification-and-explanation-app

Streamlit App for Node and Graph Classification and Explainability

cora dvc-for-data-science dvc-pipeline enzymes graph-classification graph-convolutional-networks graph-explain graph-neural-networks graph-representation-learning mlflow node-classificaiton optuna pytorch pytorch-geometric streamlit streamlit-cloud streamlit-sharing streamlit-webapp

Last synced: 14 Feb 2026

https://github.com/akhilpandey95/gnnnas

Work as part of ANL summer 2022 research with emphasis on utilizing symbolic programming to perform NAS on graph neural networks

graph-neural-networks graph-representation-learning neural-architecture-search representation-learning symbolic-programming

Last synced: 08 Oct 2025

https://github.com/veritasyin/subg_acc

SubG is a C/OpenMP-based library for accelerating subgraph operations in Python.

graph-representation-learning parallel-computing scalable-graph-learning subgraph

Last synced: 23 Aug 2025

https://github.com/disi-unibo-nlp/ddegk

Implementation of Deep Divergence Event Graph Kernels

biomedical-text-mining event-embedding event-extraction graph-kernels graph-neural-networks graph-representation-learning graph-similarity-learning

Last synced: 07 Apr 2026

https://github.com/vndee/sentrec

Sentiment Graph for Product Recommendation

amazon-fine-food-reviews-dataset deep-learning graph-representation-learning recommendation-system

Last synced: 25 Apr 2026

https://github.com/mbsher/publications

📊 Organize and visualize public information to enhance understanding with structured diagrams, mind maps, and presentations for clear communication.

conference-presentations conference-publications desktop diagrams drawing epub epub-publications graph graph-neural-networks graph-representation-learning languages libreoffice machine-learning neural-network office pdf publishing threejs

Last synced: 28 Aug 2025

https://github.com/zehong-wang/g2pm

Scalable Graph Generative Modeling via Substructure Sequences

artificial-intelligence generative-ai generative-model generative-pretraining graph graph-learning graph-neural-networks graph-representation-learning graph-transformer machine-learning message-passing pytorch-geometric self-supervised-learning substruct unsupervised-learning

Last synced: 30 Jan 2026