Awesome Open Source

Programming Languages

Search results for graph representation learning

graph-representation-learning x

76 search results found

Awesome Graph Classification ⭐ 4,703

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

Graph Based Deep Learning Literature ⭐ 4,418

links to conference publications in graph-based deep learning

Benchmarking Gnns ⭐ 2,196

Repository for benchmarking graph neural networks

Ampligraph ⭐ 1,963

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

PyGCL: A PyTorch Library for Graph Contrastive Learning

Pretrain Gnns ⭐ 805

Strategies for Pre-training Graph Neural Networks

Graph_nets ⭐ 769

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

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

Gnn Recommender Systems ⭐ 551

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

Compgcn ⭐ 519

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

Graphgps ⭐ 508

Recipe for a General, Powerful, Scalable Graph Transformer

Efficient Gnns ⭐ 490

Code and resources on scalable and efficient Graph Neural Networks

Gpt Gnn ⭐ 451

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

Awesome Pretrain On Molecules ⭐ 440

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

Graph Transformer ⭐ 408

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

Mixhop And N Gcn ⭐ 389

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

Graphgan ⭐ 381

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

Awesome Self Supervised Learning For Graphs ⭐ 300

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

Attentionwalk ⭐ 299

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

Splitter ⭐ 203

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

Seal Ci ⭐ 201

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

Gnnlens2 ⭐ 136

Visualization tool for Graph Neural Networks

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

Gnn Lspe ⭐ 114

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

Awesome Graph Representation Learning ⭐ 109

A curated list for awesome graph representation learning resources.

Official Pytorch code for Structure-Aware Transformer.

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

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

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

Inductive relation prediction by subgraph reasoning, ICML'20

Awesome Graph Representation Learning ⭐ 66

A curated list of awesome graph representation learning.

3dinfomax ⭐ 64

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

Learning Tsp ⭐ 53

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

Chinese Reading Notes Of Graph Learning ⭐ 52

Graph Reading Group ⭐ 38

Daily reading group on graphs at KEG

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

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

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

Graph Embedding via Frequent Subgraphs

Embiggen ⭐ 35

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

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

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

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

PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

Shift Robust Gnns ⭐ 24

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

Variational Graph Recurrent Neural Networks - PyTorch

Neural Temporal Walks ⭐ 23

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

Shepherd ⭐ 23

SHEPHERD: Deep learning for diagnosing patients with rare genetic diseases

Graph Cnn.mxnet ⭐ 20

MXNet implementation of Graph Convolutional Neural Networks

Gated Graph Transformers ⭐ 19

Transformers are Graph Neural Networks!

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

Graphrewiring Tutorial ⭐ 19

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

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

Awesome Literature Ilogs ⭐ 16

Awesome literature on imbalanced learning on graphs

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

Gnn Regvd ⭐ 14

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

Graph Infoclust Gic ⭐ 13

Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning (PA-KDD 2021)

Metric Few Shot Graph ⭐ 13

Few-Shot Graph Classification via distance metric learning.

Subgraph Neural Networks (NeurIPS 2020)

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

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

Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering

Surel_plus ⭐ 9

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

Pyg Link Prediction ⭐ 9

Pytorch Geometric link prediction of a homogeneous social graph.

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

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

Permute Me Softly: Learning Soft Permutations for Graph Representations

The code base for AWARE, a graph representation learning method published at TMLR

Taxonomy of Benchmarks in Graph Representation Learning

Rgcn Pytorch ⭐ 7

Pytorch implementation of Relational GCN for node classification

Force2vec ⭐ 6

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

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

Linkschedulinggnns_supervisionstudy ⭐ 5

A comparative study of different supervision levels (supervised/unsupervised/self-supervised) when training graph neural network models for link scheduling in wireless networks.

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

Connector ⭐ 5

The Graph Representation Learning Framework developed by NS Lab@CUK.

1-76 of 76 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.