marlin-github

marlin-github's Stars

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python20.9k2523.5k3.6k

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.7k24814773

• TrustAGI-Lab/Awesome-Graph-Neural-Networks

  Paper Lists for Graph Neural Networks

  2.2k875384

• safe-graph/graph-fraud-detection-papers

  A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

  1.4k534246

• snap-stanford/pretrain-gnns

  Strategies for Pre-training Graph Neural Networks

  Language:Python9561763161

• RUCAIBox/Awesome-RSPapers

  Recommender System Papers

  928315142

• lightaime/deep_gcns

  Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

  Language:Python629201489

• pkuxmq/Invertible-Image-Rescaling

  [ECCV 2020, IJCV 2022] Invertible Image Rescaling

  Language:Python627165186

• malllabiisc/CompGCN

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

  Language:Python5951839106

• HazyResearch/hgcn

  Hyperbolic Graph Convolutional Networks in PyTorch.

  Language:Python5832648107

• cvqluu/Angular-Penalty-Softmax-Losses-Pytorch

  Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

  Language:Python481111892

• zhenyingfang/Awesome-Temporal-Action-Detection-Temporal-Action-Proposal-Generation

  Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation

  42121335

• snap-stanford/neural-subgraph-learning-GNN

  Language:Jupyter Notebook32893264

• THUDM/GCC

  GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

  Language:Python321152553

• ChandlerBang/Pro-GNN

  Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

  Language:Python27852445

• FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling

  Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

  Language:Python25811448

• johannbrehmer/manifold-flow

  Manifold-learning flows (ℳ-flows)

  Language:Jupyter Notebook2309427

• saibalmars/GraphRicciCurvature

  A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.

  Language:Python224112356

• benedekrozemberczki/SEAL-CI

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

  Language:Python20810344

• snap-stanford/distance-encoding

  Distance Encoding for GNN Design

  Language:Jupyter Notebook18181226

• YimiAChack/GraphSTONE

  An implementation of "Graph Structural-topic Neural Network"

  Language:Python721126

• nju-websoft/HyperKA

  Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020

  Language:Python39625

• YuGuangWang/UFG

  Language:Python342212

• AvigdorZ/ADaptive-Structural-Fingerprint

  Language:Python29168

• paulpjoby/DynGEM

  Btech S8 Main Project

  Language:Python24119

• yeze16159/CurvGN

  Curvature Graph Network

  Language:Python18239

• Eilene/GraphHeat

  A TensorFlow implementation of GraphHeat

  Language:Python15223