snap-stanford / cs224w-notes

Related projects: ⓘ

• diningphil / gnn-comparison
  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
  ☆380Updated 3 months ago
• hdvvip / CS224W_Winter2021
  CS224W Stanford Winter 2021 Homework solutions
  ☆193Updated 2 years ago
• snap-stanford / neural-subgraph-learning-GNN
  ☆331Updated 2 months ago
• mengliu1998 / awesome-deep-gnn
  Papers about developing deep Graph Neural Networks (GNNs)
  ☆300Updated last year
• acbull / GPT-GNN
  Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
  ☆480Updated last month
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆336Updated 2 years ago
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆957Updated last year
• facebookresearch / SEAL_OGB
  An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
  ☆221Updated last year
• GraphSAINT / GraphSAINT
  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…
  ☆468Updated 2 years ago
• claws-lab / jodie
  A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
  ☆348Updated last month
• zhao-tong / graph-data-augmentation-papers
  A curated list of graph data augmentation papers.
  ☆294Updated 5 months ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆543Updated 10 months ago
• TrustAGI-Lab / graph_datasets
  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
  ☆282Updated 2 years ago
• mims-harvard / SubGNN
  Subgraph Neural Networks (NeurIPS 2020)
  ☆187Updated 3 years ago
• dglai / KDD20-Hands-on-Tutorial
  Scalable Graph Neural Networks with Deep Graph Library
  ☆151Updated 3 years ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆622Updated last year
• hugochan / IDGL
  Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…
  ☆219Updated last year
• SXKDZ / awesome-self-supervised-learning-for-graphs
  A curated list for awesome self-supervised learning for graphs.
  ☆368Updated last year
• palash1992 / DynamicGEM
  ☆343Updated 4 years ago
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆276Updated 2 months ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆854Updated 2 weeks ago
• aravindsankar28 / DySAT
  Representation learning on dynamic graphs using self-attention networks
  ☆276Updated last year
• ChandlerBang / Pro-GNN
  Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
  ☆280Updated last year
• zhao-tong / GAug
  AAAI'21: Data Augmentation for Graph Neural Networks
  ☆185Updated 4 months ago
• chennnM / GCNII
  PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
  ☆323Updated 4 years ago
• sunfanyunn / InfoGraph
  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …
  ☆311Updated 8 months ago
• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆124Updated 3 years ago
• CUAI / CorrectAndSmooth
  [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)
  ☆283Updated 3 years ago
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆514Updated 2 years ago
• dglai / WWW20-Hands-on-Tutorial
  Materials for DGL hands-on tutorial in WWW 2020
  ☆498Updated 3 years ago