TianyuanYang / KAN4Rec
Implementation of Kolmogorov-Arnold Network (KAN) for Recommendations
☆30Updated 9 months ago
Alternatives and similar repositories for KAN4Rec:
Users that are interested in KAN4Rec are comparing it to the libraries listed below
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆59Updated 4 months ago
- [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"☆51Updated 8 months ago
- A curated list of papers on graph structure learning (GSL).☆42Updated last month
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆50Updated 11 months ago
- [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"☆72Updated 8 months ago
- [WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"☆31Updated last month
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆29Updated 8 months ago
- [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"☆59Updated 8 months ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆42Updated 6 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆87Updated 8 months ago
- LightGT: A Light Graph Transformer for Multimedia Recommendation, SIGIR2023☆24Updated 3 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆89Updated 11 months ago
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆20Updated last year
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆22Updated 3 months ago
- [WWW'23] "SimRec: Graph-less Collaborative Filtering"☆32Updated last year
- Papers about hypergraph, their applications, and even similar ideas.☆18Updated 3 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆83Updated 3 months ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation☆12Updated 6 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
- [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"☆60Updated 11 months ago
- [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"☆57Updated 11 months ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆15Updated 10 months ago
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆52Updated last year
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆13Updated last year
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆56Updated 2 years ago