facebookresearch / SEAL_OGBLinks
An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
☆240Updated 2 years ago
Alternatives and similar repositories for SEAL_OGB
Users that are interested in SEAL_OGB are comparing it to the libraries listed below
Sorting:
- Distance Encoding for GNN Design☆188Updated 4 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆496Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆398Updated last year
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆431Updated 5 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆260Updated 4 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆233Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆202Updated 4 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆300Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆500Updated 3 years ago
- Pytorch implementation of a RGCN Link Prediction Model☆263Updated 4 years ago
- ☆302Updated 3 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated last year
- Representation learning on dynamic graphs using self-attention networks☆306Updated 2 years ago
- The source code of HeCo☆168Updated 3 years ago
- A curated list of graph data augmentation papers.☆314Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆336Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆332Updated 2 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆150Updated 2 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 11 months ago
- Papers about developing deep Graph Neural Networks (GNNs)☆298Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆338Updated last year
- ☆364Updated last year
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆165Updated 3 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- A curated list for awesome self-supervised learning for graphs.☆388Updated 3 years ago
- ☆77Updated 3 years ago
- Parameterized Explainer for Graph Neural Network☆140Updated last year