Jinfeng-Xu / FKAN-GCF
☆30Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for FKAN-GCF
- [CIKM'23] The official implementation code of DiffuASR.☆26Updated 6 months ago
- ☆24Updated last week
- [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"☆49Updated 4 months ago
- An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention, AAAI-24☆42Updated last week
- TransGNN, SIGIR 2024☆37Updated 4 months ago
- [ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"☆54Updated 4 months ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆56Updated last month
- [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"☆43Updated 5 months ago
- A collection of resources on attention-based graph neural networks☆53Updated 10 months ago
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆17Updated 3 months ago
- [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"☆64Updated 2 months ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆29Updated 6 months ago
- Official implementation of "Graph Signal Diffusion Model for Collaborative Filtering" (SIGIR 2024)☆10Updated 5 months ago
- The source code is for the paper: “Plug-in Diffusion Model for Sequential Recommendation” accepted in AAAI 2024 by Haokai Ma, Ruobing Xie…☆21Updated 9 months ago
- [CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"☆17Updated 2 months ago
- [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"☆96Updated 2 weeks ago
- Implementation of Kolmogorov-Arnold Network (KAN) for Recommendations☆30Updated 6 months ago
- Implementation of GraphKan with torch geometrics and its application on signal classification☆51Updated 5 months ago
- Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets).☆28Updated 3 weeks ago
- [Accepted by TNNLS] Source Code for Relational Redundancy-Free Graph Clustering☆10Updated last year
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆21Updated 3 weeks ago
- [CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"☆21Updated 5 months ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆33Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆48Updated last year
- The implementation for DropMessage.☆35Updated last year
- [CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"☆46Updated 5 months ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆34Updated 6 months ago
- [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"☆56Updated 8 months ago
- LHGNN: Link Prediction on Latent Heterogeneous Graphs☆11Updated last year
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆178Updated last year