psanch21 / LCAT
☆21Updated last year
Related projects ⓘ
Alternatives and complementary repositories for LCAT
- A collection of papers on Graph Structural Learning (GSL)☆51Updated 10 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆73Updated this week
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆37Updated 2 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆33Updated last year
- ☆40Updated 3 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆47Updated last year
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆16Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 5 months ago
- ☆38Updated last year
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆62Updated 11 months ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆31Updated 3 years ago
- 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).☆51Updated last month
- ☆75Updated 2 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆36Updated last year
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆36Updated 8 months ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆26Updated 2 years ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆50Updated last year
- source code for IJCAI 2023 accpeted Paper CSGCL:Community Strength Enhanced Graph Contrastive Learning☆16Updated 8 months ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆67Updated last year
- A pytorch implementation of graph transformer for node classification☆29Updated last year
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆50Updated 2 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆52Updated last year
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆33Updated last year
- ☆37Updated 2 years ago
- ☆30Updated last year
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆31Updated 2 years ago
- The code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆28Updated 5 months ago