NSLab-CUK / Community-aware-Graph-TransformerLinks
Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree biases in message-passing mechanism and developed by NS Lab @ CUK based on pure PyTorch backend.
☆14Updated last month
Alternatives and similar repositories for Community-aware-Graph-Transformer
Users that are interested in Community-aware-Graph-Transformer are comparing it to the libraries listed below
Sorting:
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆15Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆42Updated 11 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆35Updated 2 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆25Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated 9 months ago
- ☆24Updated last year
- [WWW 2023] The source code of "Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning"☆35Updated last year
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆26Updated last year
- A Survey of Learning from Graphs with Heterophily☆150Updated 7 months ago
- ☆46Updated 10 months ago
- ☆19Updated last year
- Implementation of the WWW'23 paper "Toward Degree Bias in Embedding-Based Knowledge Graph Completion"☆16Updated 2 years ago
- This is the official code release of the following paper: Hao Dong et al., Temporal Inductive Path Neural Network for Temporal Knowledge …☆28Updated last year
- Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"☆24Updated last year
- A curated list of papers on graph transfer learning (GTL).☆17Updated last year
- ☆20Updated last year
- ☆34Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆10Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆63Updated last year
- The implementation for DropMessage.☆37Updated 2 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆39Updated 11 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- ☆48Updated last year
- The official PyTorch implementation for 2024-ICASSP-Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation☆12Updated last year
- Papers about hypergraph, their applications, and even similar ideas.☆19Updated 3 years ago
- A list of recent papers about Link Prediction.☆109Updated 2 weeks ago
- ☆17Updated 3 months ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year