yueliu1999 / KAN4Graph
Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
☆58Updated 6 months ago
Alternatives and similar repositories for KAN4Graph:
Users that are interested in KAN4Graph are comparing it to the libraries listed below
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆84Updated 5 months ago
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆33Updated last month
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- ☆32Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆80Updated 4 months ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆68Updated 6 months ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated 10 months ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated last year
- ☆18Updated 3 months ago
- ☆43Updated 8 months ago
- [Accepted by TNNLS] Source Code for Relational Redundancy-Free Graph Clustering☆10Updated last year
- ☆16Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆55Updated last year
- TransGNN, SIGIR 2024☆47Updated 9 months ago
- ☆47Updated 2 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆58Updated 2 years ago
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated last month
- ☆38Updated 4 years ago
- A curated list of papers on graph transfer learning (GTL).☆17Updated last year
- Official implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection", ICASSP 2024.☆34Updated 3 weeks ago
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆24Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆54Updated last year
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆36Updated 9 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆42Updated 3 months ago
- Awesome literature on imbalanced learning on graphs☆75Updated 7 months ago
- A curated list of papers on graph structure learning (GSL).☆48Updated 3 months ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆31Updated 2 years ago