zjukg / NCGNN
Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
☆10Updated last year
Alternatives and similar repositories for NCGNN:
Users that are interested in NCGNN are comparing it to the libraries listed below
- ☆11Updated 2 years ago
- ☆15Updated last year
- The pytorch implementation of ClusterSCL (WWW2022).☆15Updated last year
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Updated 3 years ago
- [KDD 2023] AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning☆24Updated last year
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Updated 2 years ago
- Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning☆21Updated last year
- Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"☆19Updated last year
- [WWW 2023] The source code of "Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning"☆31Updated 9 months ago
- graph neural networks, information theory, AI for Sciences☆19Updated 2 years ago
- ☆9Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆31Updated 3 years ago
- "Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport" in ICDE 2023☆17Updated last year
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆18Updated 2 months ago
- Pytorch implementation of WWW'23:"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs"☆15Updated last year
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆19Updated last year
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆19Updated 2 years ago
- Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Cont…☆23Updated last year
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 2 years ago
- PyTorch implementation for 'GiGaMA: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction'☆17Updated last year
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Updated last year
- Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion☆39Updated 3 months ago
- [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆16Updated 2 years ago
- ☆45Updated last month
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆40Updated last year
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆54Updated 2 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆56Updated last year
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆18Updated 10 months ago
- CIKM 2021: Pooling Architecture Search for Graph Classification☆19Updated 2 years ago