yueliu1999 / KAN4Graph
Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
☆56Updated last month
Related projects ⓘ
Alternatives and complementary repositories for KAN4Graph
- A collection of papers on Graph Structural Learning (GSL)☆52Updated 10 months ago
- ☆30Updated last year
- A Survey of Learning from Graphs with Heterophily☆89Updated last month
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆74Updated this week
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆26Updated 2 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆79Updated 3 weeks ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆48Updated last year
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆36Updated last year
- ☆44Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆52Updated last month
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆30Updated 4 months ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 5 months ago
- A curated list of papers on graph structure learning (GSL).☆39Updated 4 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆28Updated 3 weeks ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated last year
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆27Updated 6 months ago
- ☆37Updated 3 years ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆29Updated last year
- ☆15Updated last year
- This project is a scalable unified framework for deep graph clustering.☆101Updated 3 months ago
- ☆13Updated 11 months ago
- ☆40Updated 3 months ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆31Updated 3 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆30Updated 3 months ago
- Awesome literature on imbalanced learning on graphs☆66Updated 2 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆21Updated 3 months ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆36Updated 8 months ago