THUDM / IGB
Source code and dataset for IJCAI 2022 paper "Rethinking the Setting of Semi-supervised Learning on Graphs"
☆10Updated 2 years ago
Alternatives and similar repositories for IGB:
Users that are interested in IGB are comparing it to the libraries listed below
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆18Updated last year
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆19Updated last year
- The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023…☆43Updated last year
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated last year
- ☆49Updated 3 months ago
- Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts☆16Updated 3 weeks ago
- Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks☆13Updated last month
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆66Updated 9 months ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆94Updated last year
- ☆122Updated last year
- A generative one-for-all model for joint graph language modeling☆23Updated 2 months ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆110Updated 4 months ago
- ☆21Updated 2 years ago
- A novel template-free retrosynthesizer that can generate diverse sets of reactants for a desired product via discrete conditional variati…☆14Updated 2 years ago
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆54Updated 10 months ago
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆57Updated 11 months ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆90Updated last year
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆36Updated last year
- Edge-Augmented Graph Transformer☆74Updated 11 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆49Updated last year
- ☆19Updated last month
- Official code for SPE☆13Updated 4 months ago
- Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (NeurIPS 2021) + Pytorch Implementation of recent attri…☆68Updated last year
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆96Updated 10 months ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆51Updated last year
- ☆19Updated last year