cchao0116 / CTSMA-ICML21Links
Code for ICML21 paper "Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation"
☆11Updated 2 years ago
Alternatives and similar repositories for CTSMA-ICML21
Users that are interested in CTSMA-ICML21 are comparing it to the libraries listed below
Sorting:
- Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning"☆11Updated 3 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- An implementation of GSKN-Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels☆15Updated 4 years ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Updated 2 years ago
- ☆14Updated 3 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 4 years ago
- WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework☆14Updated 4 years ago
- ☆19Updated 3 years ago
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆34Updated 3 years ago
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Updated 3 years ago
- ☆12Updated last year
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 3 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆102Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆44Updated 2 years ago
- This is the source code of PFRec☆14Updated 2 years ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆17Updated 2 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆22Updated 3 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Updated last year
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year
- Pytorch implementation of EvenNet.☆20Updated 3 years ago
- Graph Structured Neural Network☆40Updated 3 years ago
- ☆21Updated 3 years ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆25Updated 2 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆13Updated 2 years ago
- CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation☆21Updated 3 years ago
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆53Updated 4 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 3 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- WWW2025 | FuXi-𝛼: Scaling Recommendation Model with Feature Interaction Enhanced Transformer☆18Updated 6 months ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago