graph-representation-learning | Topic

Topic: "graph-representation-learning"

naganandy/graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: 21 days ago - Pushed at: 24 days ago - Stars: 4,918 - Forks: 779

benedekrozemberczki/awesome-graph-classification

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

Language: Python - Size: 1.79 MB - Last synced at: 20 days ago - Pushed at: about 2 years ago - Stars: 4,788 - Forks: 739

graphdeeplearning/benchmarking-gnns

Repository for benchmarking graph neural networks (JMLR 2023)

Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 2,587 - Forks: 456

Accenture/AmpliGraph

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

Language: Python - Size: 42.3 MB - Last synced at: 21 days ago - Pushed at: 7 months ago - Stars: 2,213 - Forks: 251

dsgiitr/graph_nets

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

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 13 days ago - Pushed at: 2 months ago - Stars: 1,195 - Forks: 228

tsinghua-fib-lab/GNN-Recommender-Systems

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

Size: 186 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1,030 - Forks: 140

snap-stanford/pretrain-gnns

Strategies for Pre-training Graph Neural Networks

Language: Python - Size: 179 MB - Last synced at: 2 days ago - Pushed at: almost 2 years ago - Stars: 1,017 - Forks: 167

PyGCL/PyGCL

PyGCL: A PyTorch Library for Graph Contrastive Learning

Language: Python - Size: 661 KB - Last synced at: 25 days ago - Pushed at: 11 months ago - Stars: 943 - Forks: 97

acbull/pyHGT

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

Language: Python - Size: 17.8 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 800 - Forks: 163

rampasek/GraphGPS

Recipe for a General, Powerful, Scalable Graph Transformer

Language: Python - Size: 12.6 MB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 674 - Forks: 121

daiquocnguyen/Graph-Transformer

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

Language: Python - Size: 109 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 622 - Forks: 77

malllabiisc/CompGCN

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

Language: Python - Size: 4.35 MB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 597 - Forks: 107

chaitjo/efficient-gnns

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

Language: Python - Size: 2.32 MB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 533 - Forks: 64

junxia97/awesome-pretrain-on-molecules

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

Size: 565 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 522 - Forks: 54

hwwang55/GraphGAN

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

Language: Python - Size: 75.3 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 507 - Forks: 163

acbull/GPT-GNN

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

Language: Python - Size: 9.51 MB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 487 - Forks: 87

benedekrozemberczki/MixHop-and-N-GCN

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

Language: Python - Size: 5.06 MB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 405 - Forks: 56

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

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

Size: 25.4 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 387 - Forks: 45

benedekrozemberczki/AttentionWalk

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

Language: Python - Size: 1.25 MB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 325 - Forks: 47

CRIPAC-DIG/GRACE

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

Language: Python - Size: 119 KB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 301 - Forks: 55

HKUDS/Awesome-LLM4Graph-Papers

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

Size: 1.85 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 290 - Forks: 13

BorgwardtLab/SAT

Official Pytorch code for Structure-Aware Transformer.

Language: Python - Size: 2.59 MB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 258 - Forks: 41

vijaydwivedi75/gnn-lspe

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

Language: Python - Size: 267 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 253 - Forks: 36

dmlc/GNNLens2

Visualization tool for Graph Neural Networks

Language: TypeScript - Size: 20.9 MB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 251 - Forks: 27

benedekrozemberczki/Splitter

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

Language: Python - Size: 11.4 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 213 - Forks: 44

benedekrozemberczki/SEAL-CI

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

Language: Python - Size: 5.08 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 211 - Forks: 43

kkteru/grail

Inductive relation prediction by subgraph reasoning, ICML'20

Language: Python - Size: 13.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 201 - Forks: 54

mims-harvard/SubGNN

Subgraph Neural Networks (NeurIPS 2020)

Language: Python - Size: 2.15 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 191 - Forks: 34

chaitjo/learning-tsp

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

Language: Jupyter Notebook - Size: 53.1 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 169 - Forks: 37

vijaydwivedi75/lrgb

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

Language: Jupyter Notebook - Size: 27.6 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 158 - Forks: 22

HannesStark/3DInfomax

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

Language: Python - Size: 155 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 155 - Forks: 31

zlpure/awesome-graph-representation-learning

A curated list for awesome graph representation learning resources.

Size: 21.5 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 153 - Forks: 27

htcr/sam_road

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

Language: Python - Size: 3.08 MB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 151 - Forks: 18

CRIPAC-DIG/GCA

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

Language: Python - Size: 11.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 149 - Forks: 26

tencent-alchemy/Alchemy

Language: Python - Size: 54.7 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 113 - Forks: 38

Dru-Mara/EvalNE

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

Language: Python - Size: 849 KB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 106 - Forks: 26

mala-lab/Awesome-Deep-Graph-Anomaly-Detection

Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection.

Size: 20.7 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 104 - Forks: 9

JinheonBaek/GMT

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

Language: Python - Size: 34.1 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 101 - Forks: 21

VGraphRNN/VGRNN

Variational Graph Recurrent Neural Networks - PyTorch

Language: Python - Size: 9.55 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 95 - Forks: 31

LFhase/CIGA

[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

Language: Python - Size: 618 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 94 - Forks: 9

gbouritsas/GSN

Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252

Language: Python - Size: 1.17 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 78 - Forks: 19

MGitHubL/Chinese-Reading-Notes-of-Graph-Learning

Size: 131 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 76 - Forks: 8

Xtra-Computing/Awesome-Literature-ILoGs

Awesome literature on imbalanced learning on graphs

Size: 238 KB - Last synced at: 30 days ago - Pushed at: 9 months ago - Stars: 76 - Forks: 9

SitaoLuan/ACM-GNN

NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

Language: Python - Size: 26.3 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 72 - Forks: 8

jhljx/CTGCN

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

Language: Python - Size: 25.1 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 72 - Forks: 23

daiquocnguyen/GNN-ReGVD

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

Language: Python - Size: 14.2 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 71 - Forks: 19

berlincho/RGCN-pytorch

Pytorch implementation of Relational GCN for node classification

Language: Python - Size: 239 KB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 69 - Forks: 14

KaiyuanZh/awesome-graph-representation-learning

A curated list of awesome graph representation learning.

Size: 3.91 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 69 - Forks: 6

chaitjo/gated-graph-transformers

Transformers are Graph Neural Networks!

Language: Python - Size: 2.19 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 54 - Forks: 7

KimMeen/Neural-Temporal-Walks

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

Language: Python - Size: 173 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 53 - Forks: 10

HKUDS/GFormer

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

Language: Python - Size: 7.43 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 50 - Forks: 11

HKUDS/GraphST

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

Language: Python - Size: 2.08 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 49 - Forks: 2

ellisalicante/GraphRewiring-Tutorial

This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications in Fairness"

Language: Jupyter Notebook - Size: 6.86 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 49 - Forks: 3

GentleZhu/Shift-Robust-GNNs

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

Language: Python - Size: 9.99 MB - Last synced at: 2 days ago - Pushed at: about 3 years ago - Stars: 48 - Forks: 7

mims-harvard/SHEPHERD

SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases

Language: HTML - Size: 516 KB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 47 - Forks: 16

chirag-agarwall/nifty

Code for paper https://arxiv.org/abs/2102.13186

Language: Python - Size: 12.7 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 44 - Forks: 13

nphdang/GE-FSG

Graph Embedding via Frequent Subgraphs

Language: Python - Size: 81.9 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 44 - Forks: 8

THUDM/Graph-Reading-Group

Daily reading group on graphs at KEG

Size: 46.9 KB - Last synced at: about 22 hours ago - Pushed at: almost 6 years ago - Stars: 44 - Forks: 2

monarch-initiative/embiggen

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

Language: Python - Size: 947 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 42 - Forks: 13

TrustAGI-Lab/MERIT

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

Language: Python - Size: 31.2 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 40 - Forks: 8

XYGaoG/Graph-Condensation-Papers

Awesome Graph Condensation Papers

Size: 213 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 37 - Forks: 0

harryjo97/EHGNN

Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)

Language: Python - Size: 30.5 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 37 - Forks: 5

daiquocnguyen/QGNN

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

Language: Python - Size: 124 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 35 - Forks: 9

daiquocnguyen/GNN-NoGE

Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)

Language: Python - Size: 10.4 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 33 - Forks: 4

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

Language: Python - Size: 6.92 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 31 - Forks: 6

BorgwardtLab/NeuralWalker

Official Pytorch implementation of NeuralWalker

Language: Python - Size: 26.1 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 29 - Forks: 3

cmavro/Graph-InfoClust-GIC

[PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning

Language: Jupyter Notebook - Size: 5.38 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 27 - Forks: 8

NSLab-CUK/Unified-Graph-Transformer

Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and developed by NS Lab @ CUK based on pure PyTorch backend.

Language: Python - Size: 1.65 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 25 - Forks: 5

NYXFLOWER/TIP

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

Language: Python - Size: 294 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 15

Orbifold/pyg-link-prediction

Pytorch Geometric link prediction of a homogeneous social graph.

Language: Jupyter Notebook - Size: 19.5 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 6

crisostomi/metric-few-shot-graph

Few-Shot Graph Classification via distance metric learning.

Language: Python - Size: 641 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 22 - Forks: 1

zhongyu1998/PG-GNN

Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"

Language: Python - Size: 34.6 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 22 - Forks: 4

saravsak/graph-cnn.mxnet

MXNet implementation of Graph Convolutional Neural Networks

Language: Python - Size: 214 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 20 - Forks: 8

geriskenderi/graph-jepa

Official code for the paper Graph-level Representation Learning with Joint-Embedding Predictive Architectures published in Transactions on Machine Learning Research (TMLR)

Language: Python - Size: 149 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 19 - Forks: 4

Graph-COM/SUREL

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

Language: C - Size: 45.9 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 4

zhengwang100/RECT

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

Language: Python - Size: 9.67 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 18 - Forks: 7

Zehong-Wang/Awesome-Foundation-Models-on-Graphs

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

Size: 3.61 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 17 - Forks: 4

Graph-COM/SUREL_Plus

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

Language: C - Size: 4.81 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 17 - Forks: 1

LFhase/GALA

[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

Language: Python - Size: 1.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 15 - Forks: 1

LirongWu/RFA-GNN

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

Language: Python - Size: 20.5 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 3

G-Taxonomy-Workgroup/GTaxoGym

Taxonomy of Benchmarks in Graph Representation Learning

Language: Python - Size: 6.36 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 0

maxuewei2/RiWalk

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

Language: Python - Size: 2.63 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 14 - Forks: 5

NSLab-CUK/Community-aware-Graph-Transformer

Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree biases in message-passing mechanism and developed by NS Lab @ CUK based on pure PyTorch backend.

Language: Python - Size: 183 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 13 - Forks: 2

zetayue/CPA

Source code for our paper "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)

Language: Python - Size: 45.8 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 5

CRIPAC-DIG/GraphAIR 📦

[PR 2021] Code for "GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction"

Language: Python - Size: 7.04 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 4

HipGraph/Force2Vec

Implementation of Force2Vec method for ICDM 2020 paper titled "Force2Vec: Parallel force-directed graph embedding"

Language: Python - Size: 4.09 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 10 - Forks: 8

user683/DRGO

[WWW'25]The official implementation of Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model

Language: Python - Size: 50.1 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 9 - Forks: 1

NSLab-CUK/Graph-Neural-Networks-Fall-2023

Welcome to the Graph Neural Networks (06838-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class.

Language: Jupyter Notebook - Size: 59.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 2