snap-stanford / neural-subgraph-learning-GNNLinks
☆355Updated last year
Alternatives and similar repositories for neural-subgraph-learning-GNN
Users that are interested in neural-subgraph-learning-GNN are comparing it to the libraries listed below
Sorting:
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆353Updated last month
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆235Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆491Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆199Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆476Updated 6 years ago
- Distance Encoding for GNN Design☆186Updated 4 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆290Updated 3 years ago
- CS224W Course Notes☆308Updated 4 years ago
- ☆212Updated last year
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 7 months ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆300Updated 2 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆271Updated 4 months ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆289Updated 4 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 2 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆469Updated last year
- A curated list of graph data augmentation papers.☆312Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆634Updated last year
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆188Updated 3 years ago
- Python library assists deep learning on graphs☆561Updated last year
- ☆300Updated 3 years ago
- Hierarchical Graph Pooling with Structure Learning☆342Updated 4 years ago
- ☆95Updated 2 years ago
- Temporal Graph Benchmark project repo☆232Updated 2 weeks ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆496Updated last year
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆135Updated 3 years ago
- A curated list for awesome self-supervised learning for graphs.☆388Updated 2 years ago