snap-stanford / deepsnapLinks
Python library assists deep learning on graphs
☆558Updated last year
Alternatives and similar repositories for deepsnap
Users that are interested in deepsnap are comparing it to the libraries listed below
Sorting:
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,807Updated last year
- ☆354Updated 11 months ago
- TensorFlow 2 library implementing Graph Neural Networks☆373Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆351Updated last week
- TGN: Temporal Graph Networks☆1,069Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,010Updated last month
- Strategies for Pre-training Graph Neural Networks☆1,018Updated last year
- A PyTorch Graph Neural Network Library☆375Updated 3 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆841Updated last year
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆290Updated 3 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆627Updated 10 months ago
- gnn explainer☆967Updated 9 months ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆391Updated 10 months ago
- CS224W Course Notes☆306Updated 4 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆470Updated last year
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆234Updated last year
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆492Updated 10 months ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆474Updated 6 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆488Updated 2 years ago
- ☆352Updated 5 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 6 months ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆642Updated 2 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆289Updated 4 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆567Updated 3 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆672Updated 2 years ago
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆532Updated 2 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,199Updated 2 months ago
- ☆423Updated 6 years ago