snap-stanford / deepsnapLinks
Python library assists deep learning on graphs
☆566Updated last year
Alternatives and similar repositories for deepsnap
Users that are interested in deepsnap are comparing it to the libraries listed below
Sorting:
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆397Updated last year
- A PyTorch Graph Neural Network Library☆375Updated last month
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,035Updated 4 months ago
- TGN: Temporal Graph Networks☆1,102Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,840Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆471Updated 2 years ago
- ☆360Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆354Updated 3 months ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆292Updated 3 years ago
- gnn explainer☆1,006Updated last year
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆676Updated 3 years ago
- CS224W Course Notes☆311Updated 4 years ago
- Strategies for Pre-training Graph Neural Networks☆1,039Updated 2 years ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆401Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆482Updated 6 years ago
- Fastest network node embeddings in the west☆553Updated 9 months ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆290Updated 4 years ago
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆370Updated 2 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆273Updated 6 months ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆645Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆867Updated last year
- TensorFlow 2 library implementing Graph Neural Networks☆375Updated 2 years ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆998Updated 4 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆238Updated 2 years ago
- ☆96Updated 2 years ago
- A repository of pretty cool datasets that I collected for network science and machine learning research.☆640Updated last year
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆535Updated 2 years ago
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆925Updated 2 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,215Updated 6 months ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆497Updated 3 years ago