HanChen-HUST / CSGCLLinks
source code for IJCAI 2023 accpeted Paper CSGCL:Community Strength Enhanced Graph Contrastive Learning
☆18Updated last year
Alternatives and similar repositories for CSGCL
Users that are interested in CSGCL are comparing it to the libraries listed below
Sorting:
- ☆38Updated 3 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆82Updated 6 months ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆22Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- ☆33Updated 2 years ago
- On Generalized Degree Fairness in Graph Neural Networks☆9Updated 2 years ago
- KDD'22☆63Updated 2 years ago
- Heterogeneous Graph Contrastive Multi-view Learning, SDM 23☆23Updated last year
- This repo is for source code of Expert Systems with Applications paper "SR-HGN: Semantic-and Relation-Aware Heterogeneous Graph Neural Ne…☆13Updated last year
- ☆20Updated last year
- DyHATR (ECML-PKDD 2020)☆44Updated 4 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆51Updated last year
- The code impliments for paper "MHNF: Multi-hop Heterogeneous Neighborhood information Fusion graph representation learning.”☆9Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆54Updated 2 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆38Updated 2 years ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆44Updated last year
- ☆18Updated last year
- ☆29Updated last year
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆21Updated last year
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cyberne…☆19Updated 3 years ago
- Multi-scale Information Diffusion Prediction with Sequential Hypergraphs☆12Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- Source code of "NeurIPS21 - Universal Graph Convolutional Networks"☆20Updated 3 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Updated 2 years ago
- Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…☆20Updated 6 months ago
- ☆76Updated 2 years ago
- ☆17Updated 7 months ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago