acbull / HGT-DGLLinks
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)
☆75Updated 3 years ago
Alternatives and similar repositories for HGT-DGL
Users that are interested in HGT-DGL are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 3 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- ☆55Updated 5 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022☆69Updated last year
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆83Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 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
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆101Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆114Updated 4 years ago
- A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).☆129Updated 4 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- An implementation of "Graph Structural-topic Neural Network"☆73Updated 5 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆231Updated 2 years ago
- ☆301Updated 3 years ago
- HDGI code☆63Updated 5 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 4 years ago
- Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2…☆59Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 3 years ago
- A collection of graph classification methods☆42Updated 4 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".☆22Updated 3 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆238Updated 2 years ago
- ☆29Updated 5 years ago