liun-online / WaveGC
Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'
☆20Updated 10 months ago
Alternatives and similar repositories for WaveGC:
Users that are interested in WaveGC are comparing it to the libraries listed below
- [ICCV2023] "Vision HGNN: An Image is More than a Graph of Nodes" by Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, and Zhangyang Wang☆50Updated 11 months ago
- ☆30Updated 4 months ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆21Updated last year
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆22Updated 7 months ago
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆10Updated 10 months ago
- State Space Models☆67Updated 10 months ago
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆13Updated 2 months ago
- The codes of Hpyergraph Transformer Nerual Networks.☆19Updated 9 months ago
- Implementation of GraphKan with torch geometrics and its application on signal classification☆61Updated 9 months ago
- Code of "Totally Dynamic Hypergraph Neural Network"☆22Updated 10 months ago
- [IEEE TMI 2024] Contrastive Graph Pooling for Explainable Classification of Brain Networks☆17Updated last week
- ☆10Updated last year
- Official implementation of ICLR 2024 paper "Contrastive Learning Is Spectral Clustering On Similarity Graph" (https://arxiv.org/abs/2303.…☆18Updated 6 months ago
- ☆114Updated last year
- Replacement classic layers with KAN Block for Hyperspectral data☆34Updated 3 months ago
- My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing o…☆43Updated 3 months ago
- ☆35Updated 2 years ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆34Updated last year
- The official implementation of the ICLR 24 submission entitled "Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation…☆49Updated 10 months ago
- Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).☆18Updated 3 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆23Updated 2 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆44Updated 7 months ago
- Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting☆29Updated last year
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆11Updated last year
- The implementation for DropMessage.☆37Updated 2 years ago
- Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"☆14Updated last year
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆42Updated 2 years ago
- TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative d…☆42Updated 6 months ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆42Updated 3 months ago
- PyTorch Implementation of TimeFilter☆26Updated last month