google / gcnn-survey-paper
☆173Updated 5 years ago
Alternatives and similar repositories for gcnn-survey-paper:
Users that are interested in gcnn-survey-paper are comparing it to the libraries listed below
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- Distance Encoding for GNN Design☆187Updated 3 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated last month
- ☆348Updated 4 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆175Updated last year
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆286Updated 3 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
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆127Updated 2 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆230Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆461Updated 6 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 4 years ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆112Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆315Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆392Updated 7 months ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆345Updated 2 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 4 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆132Updated 2 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆209Updated last year
- Heterogeneous Information Network Embedding☆198Updated 3 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆323Updated last year
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆374Updated 6 months ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆163Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆226Updated last year
- Representation-Learning-on-Heterogeneous-Graph☆439Updated 4 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 4 years ago
- ☆171Updated 6 years ago
- Hyperbolic Graph Neural Networks☆230Updated 5 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated 10 months ago