snap-stanford / neural-subgraph-learning-GNN
☆347Updated 6 months ago
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
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆390Updated 7 months ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆230Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆345Updated 2 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆286Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆477Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆191Updated 3 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆268Updated last year
- Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networ…☆266Updated 2 months ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆458Updated 6 years ago
- Hierarchical Graph Pooling with Structure Learning☆334Updated 3 years ago
- ☆349Updated 4 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated last month
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated last year
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆287Updated 3 years ago
- ☆196Updated last year
- Distance Encoding for GNN Design☆187Updated 3 years ago
- Python library assists deep learning on graphs☆555Updated last year
- Strategies for Pre-training Graph Neural Networks☆981Updated last year
- ☆294Updated 2 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆133Updated 5 months ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆184Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- A curated list for awesome self-supervised learning for graphs.☆379Updated 2 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆603Updated 5 months ago
- A curated list of graph data augmentation papers.☆303Updated 9 months ago
- Visualization tool for Graph Neural Networks☆242Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆291Updated last year
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆162Updated 2 years ago
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago