facebookresearch / SEAL_OGB

Related projects ⓘ

Alternatives and complementary repositories for SEAL_OGB

• cynricfu / MAGNN
  Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
  ☆398Updated 4 years ago
• hugochan / IDGL
  Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…
  ☆223Updated last year
• diningphil / gnn-comparison
  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
  ☆383Updated 5 months ago
• TUM-DAML / pprgo_pytorch
  PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)
  ☆127Updated 2 years ago
• zhao-tong / GAug
  AAAI'21: Data Augmentation for Graph Neural Networks
  ☆187Updated 7 months ago
• mims-harvard / SubGNN
  Subgraph Neural Networks (NeurIPS 2020)
  ☆190Updated 3 years ago
• aravindsankar28 / DySAT
  Representation learning on dynamic graphs using self-attention networks
  ☆282Updated last year
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆312Updated 6 months ago
• yangji9181 / HNE
  Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
  ☆253Updated 3 years ago
• mengliu1998 / awesome-deep-gnn
  Papers about developing deep Graph Neural Networks (GNNs)
  ☆301Updated last year
• ChandlerBang / Pro-GNN
  Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
  ☆283Updated last year
• JinheonBaek / RGCN
  Pytorch implementation of a RGCN Link Prediction Model
  ☆240Updated 3 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆341Updated 2 years ago
• thiviyanT / torch-rgcn
  A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
  ☆119Updated 3 years ago
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆448Updated 5 years ago
• zhao-tong / graph-data-augmentation-papers
  A curated list of graph data augmentation papers.
  ☆300Updated 7 months ago
• gasteigerjo / ppnp
  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
  ☆320Updated last year
• snap-stanford / distance-encoding
  Distance Encoding for GNN Design
  ☆183Updated 3 years ago
• THUDM / GRAND
  Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
  ☆208Updated last year
• claws-lab / jodie
  A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
  ☆358Updated 3 months ago
• SXKDZ / awesome-self-supervised-learning-for-graphs
  A curated list for awesome self-supervised learning for graphs.
  ☆376Updated 2 years ago
• THUDM / GCC
  GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
  ☆324Updated last year
• rusty1s / pyg_autoscale
  Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
  ☆159Updated 2 years ago
• bingzhewei / geom-gcn
  ☆291Updated 2 years ago
• palash1992 / DynamicGEM
  ☆345Updated 4 years ago
• snap-stanford / CAW
  ☆75Updated 2 years ago
• gasteigerjo / gdc
  Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
  ☆267Updated last year
• jianhao2016 / GPRGNN
  ☆132Updated last year
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆298Updated 3 months ago
• CUAI / CorrectAndSmooth
  [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)
  ☆285Updated 3 years ago