HazyResearch / hgcnLinks
Hyperbolic Graph Convolutional Networks in PyTorch.
☆625Updated 10 months ago
Alternatives and similar repositories for hgcn
Users that are interested in hgcn are comparing it to the libraries listed below
Sorting:
- Hyperbolic Graph Neural Networks☆236Updated 5 years ago
- ☆299Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆642Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆672Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆843Updated 3 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆841Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,029Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆474Updated 6 years ago
- ☆491Updated 4 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆351Updated last week
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆492Updated 10 months ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆488Updated 2 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 6 months ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆595Updated 11 months ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- Simple reference implementation of GraphSAGE.☆1,022Updated 5 years ago
- Representation learning on dynamic graphs using self-attention networks☆294Updated 2 years ago
- Graph Markov Neural Networks☆409Updated 4 years ago
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆620Updated 10 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
- How Powerful are Graph Neural Networks?☆1,219Updated 3 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆721Updated 3 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆409Updated 3 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆327Updated last year
- ☆352Updated 5 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆567Updated 3 years ago
- Strategies for Pre-training Graph Neural Networks☆1,018Updated last year