Graph Neural Convection-Diffusion with Heterophily
☆11May 29, 2023Updated 2 years ago
Alternatives and similar repositories for Graph-Diffusion-CDE
Users that are interested in Graph-Diffusion-CDE are comparing it to the libraries listed below
Sorting:
- On the Robustness of Graph Neural Diffusion to Topology Perturbations☆16Nov 4, 2022Updated 3 years ago
- Adversarial Robustness in Graph Neural Networks: A Hamiltonian Energy Conservation Approach☆16Apr 27, 2024Updated last year
- The code for PosDiffNet☆12Updated this week
- ☆18Dec 10, 2022Updated 3 years ago
- An official PyTorch implementation of "Certifiably Robust Graph Contrastive Learning" (NeurIPS 2023)☆11Jan 22, 2024Updated 2 years ago
- Implementation for paper "Link Prediction on Heterophilic Graphs via Disentangled Representation Learning"☆13Aug 26, 2022Updated 3 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆17Jun 16, 2022Updated 3 years ago
- [CIKM 2023 Short] Code for the paper "S-Mixup: Structural Mixup for Graph Neural Networks"☆18Aug 21, 2023Updated 2 years ago
- Codebase for KDD22 paper "Subset Node Anomaly Tracking over Large Dynamic Graphs"☆15Dec 13, 2022Updated 3 years ago
- The official PyTorch implementation for SIGIR 2024 paper "SIGformer: sign-aware graph transformer for recommendation".☆20Sep 4, 2024Updated last year
- ☆18Dec 9, 2023Updated 2 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆24Jul 18, 2023Updated 2 years ago
- Official Implementation of Half-Hop☆20Oct 10, 2023Updated 2 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Jun 20, 2023Updated 2 years ago
- Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”☆21Jan 15, 2023Updated 3 years ago
- (AAAI 2024) DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition☆26Apr 15, 2024Updated last year
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Nov 1, 2021Updated 4 years ago
- Code for SGDD☆26Oct 19, 2023Updated 2 years ago
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Oct 23, 2024Updated last year
- Addressing the problem of predicting crime occurrence based on historic records☆11Nov 27, 2019Updated 6 years ago
- Official implementation of RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning☆35Feb 24, 2023Updated 3 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Jul 8, 2022Updated 3 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Nov 29, 2023Updated 2 years ago
- How Powerful are Spectral Graph Neural Networks☆75Jul 26, 2023Updated 2 years ago
- SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation☆34Nov 27, 2023Updated 2 years ago
- ☆30Oct 10, 2021Updated 4 years ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆27Aug 26, 2025Updated 6 months ago
- The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)☆26Aug 12, 2021Updated 4 years ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆33Nov 10, 2023Updated 2 years ago
- This project involves the code and supplementary materials of paper "Node Representation Learning in Graph via Node-to-Neighbourhood Mutu…☆36Mar 1, 2023Updated 3 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Dec 2, 2021Updated 4 years ago
- LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21☆38Aug 23, 2024Updated last year
- (CIKM'21) Variational Graph Normalized Auto-Encoders☆38Mar 8, 2022Updated 3 years ago
- ☆13Jun 18, 2025Updated 8 months ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Jul 27, 2023Updated 2 years ago
- Official code for "CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis", ICML 2023☆37Jan 9, 2024Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆40Mar 16, 2024Updated last year
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Oct 17, 2023Updated 2 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Nov 27, 2023Updated 2 years ago