jiyangbai / TaGSim
☆12Updated 3 months ago
Alternatives and similar repositories for TaGSim:
Users that are interested in TaGSim are comparing it to the libraries listed below
- Implementation of paper "D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching"☆12Updated last year
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- The code repository of paper "Computing Graph Edit Distance via Neural Graph Matching" for PVLDB 2023.☆18Updated last year
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆113Updated last year
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 8 months ago
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆21Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆120Updated 10 months ago
- The source code of HeCo☆158Updated 2 years ago
- ☆104Updated last year
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆44Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆167Updated 9 months ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆47Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆105Updated last year
- ☆77Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆191Updated 3 years ago
- Source code of attributed graph generator☆10Updated last year
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆34Updated 2 years ago
- ☆32Updated last year
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆61Updated 2 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆131Updated last year
- ☆41Updated 5 months ago
- Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"☆47Updated 3 years ago
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆153Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆76Updated 2 months ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆120Updated 2 years ago
- ☆14Updated last year
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆64Updated last year
- GraphSAGE and GAT for link prediction.☆85Updated 5 years ago
- [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning☆33Updated 2 years ago