jiyangbai / TaGSimLinks
☆12Updated 10 months ago
Alternatives and similar repositories for TaGSim
Users that are interested in TaGSim are comparing it to the libraries listed below
Sorting:
- Implementation of paper "D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching"☆12Updated last year
- ☆115Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆176Updated last year
- The source code of HeCo☆167Updated 3 years ago
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆21Updated last year
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆263Updated 8 months ago
- ☆34Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆145Updated 5 months ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆116Updated 4 months ago
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020☆30Updated 4 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆137Updated 2 years ago
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆39Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆129Updated last year
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 5 months ago
- Subgraph Neural Networks (NeurIPS 2020)☆198Updated 4 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆327Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆330Updated last year
- Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"☆46Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- Python 3 supported version for DySAT☆12Updated 2 years ago
- KDD'22☆64Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆93Updated 3 years ago
- GraphSAGE and GAT for link prediction.☆91Updated 5 years ago
- ☆20Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆199Updated 7 months ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆62Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- ☆47Updated last year
- ☆135Updated 2 years ago