networkslab / CKGConv
The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)
☆20Updated 6 months ago
Alternatives and similar repositories for CKGConv:
Users that are interested in CKGConv are comparing it to the libraries listed below
- ☆27Updated 3 months ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆42Updated 2 months ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆29Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆41Updated 5 months ago
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆39Updated last year
- Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"☆14Updated 11 months ago
- Directional diffusion models☆35Updated 3 months ago
- [Accepted by TNNLS] Source Code for Relational Redundancy-Free Graph Clustering☆10Updated last year
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆11Updated last month
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆34Updated last year
- ☆51Updated 3 months ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆40Updated 8 months ago
- The codes of Hpyergraph Transformer Nerual Networks.☆18Updated 8 months ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Updated 2 years ago
- Pytorch implementation for NeurIPS-23:"GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"☆18Updated 10 months ago
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆23Updated 2 years ago
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆14Updated 2 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆21Updated last year
- Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'☆19Updated 8 months ago
- Official Pytorch implementation of NeuralWalker☆28Updated 8 months ago
- The code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆28Updated 7 months ago
- [ICCV2023] "Vision HGNN: An Image is More than a Graph of Nodes" by Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, and Zhangyang Wang☆45Updated 10 months ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆38Updated last year
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆22Updated 2 years ago
- ☆109Updated 11 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆87Updated 11 months ago
- Code of "Totally Dynamic Hypergraph Neural Network"☆21Updated 8 months ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆29Updated 8 months ago
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆18Updated 3 months ago
- ☆31Updated last month