mengliu1998 / awesome-deep-gnnLinks
Papers about developing deep Graph Neural Networks (GNNs)
☆302Updated 2 years ago
Alternatives and similar repositories for awesome-deep-gnn
Users that are interested in awesome-deep-gnn are comparing it to the libraries listed below
Sorting:
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated 11 months ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- ☆296Updated 2 years ago
- Bag of Tricks for Graph Neural Networks.☆295Updated 10 months ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆347Updated 4 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆326Updated last year
- Distance Encoding for GNN Design☆186Updated 4 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- ☆268Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆349Updated 2 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 5 months ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆298Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆227Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆475Updated 6 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆592Updated 10 months ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆485Updated 2 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆187Updated 3 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆272Updated 2 months ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆493Updated 10 months ago
- Hierarchical Graph Pooling with Structure Learning☆340Updated 3 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆195Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆198Updated 4 years ago
- ☆134Updated last year