dglai / KDD20-Hands-on-Tutorial
Scalable Graph Neural Networks with Deep Graph Library
☆151Updated 4 years ago
Alternatives and similar repositories for KDD20-Hands-on-Tutorial:
Users that are interested in KDD20-Hands-on-Tutorial are comparing it to the libraries listed below
- ☆172Updated 5 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆503Updated 3 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- My approach to CS224w [AT] Stanford 2019 : )☆124Updated 4 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 4 months ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆112Updated 3 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆287Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆234Updated last year
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆133Updated 3 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 2 years ago
- Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, IC…☆361Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆473Updated 6 years ago
- Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)☆154Updated 8 months ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually upd…☆278Updated 6 years ago
- Graph Neural Network☆266Updated 3 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
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆483Updated 2 years ago
- Representation learning on dynamic graphs using self-attention networks☆291Updated 2 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Representation-Learning-on-Heterogeneous-Graph☆440Updated 5 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆326Updated last year
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆411Updated 4 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆393Updated 9 months ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆191Updated 11 months ago