icm1018 / GEAETLinks
☆37Updated 7 months ago
Alternatives and similar repositories for GEAET
Users that are interested in GEAET are comparing it to the libraries listed below
Sorting:
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆32Updated last year
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆49Updated 10 months ago
- ☆59Updated 11 months ago
- ☆121Updated last year
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆49Updated last year
- SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces (To appear in Spatio-Temporal Reasoning …☆45Updated 10 months ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Updated 2 years ago
- Code of "Totally Dynamic Hypergraph Neural Network"☆24Updated last year
- [CIKM'25] Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation☆37Updated 2 months ago
- Official PyTorch code for ICCV 2023 paper 'Learning Adaptive Neighborhoods for Graph Neural Networks'.☆21Updated last year
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆15Updated 10 months ago
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆12Updated last year
- An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classificat…☆35Updated last year
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated last year
- The codes of Hpyergraph Transformer Nerual Networks.☆21Updated last year
- Directional diffusion models☆43Updated last year
- Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'☆33Updated 4 months ago
- Implementation of GraphKan with torch geometrics and its application on signal classification☆66Updated last year
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Updated last year
- Tensor-based hypergraph neural networks☆17Updated last year
- Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces☆317Updated last year
- ☆10Updated last year
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆41Updated 2 years ago
- UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification.☆13Updated 3 months ago
- This repository is the official implementation of "DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State S…☆18Updated 6 months ago
- Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"☆14Updated last year
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆51Updated last year