delta2323 / gnn-asymptoticsView external linksLinks
Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.
☆30May 20, 2020Updated 5 years ago
Alternatives and similar repositories for gnn-asymptotics
Users that are interested in gnn-asymptotics are comparing it to the libraries listed below
Sorting:
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- ☆11Nov 8, 2023Updated 2 years ago
- A Representation Learning Framework for Property Graphs☆11Dec 21, 2019Updated 6 years ago
- Source code for NeurIPS 2020 paper "Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding"☆10Nov 17, 2020Updated 5 years ago
- Source code of "Segmented GRAPH-BERT Model"☆24Sep 16, 2020Updated 5 years ago
- ☆16Jan 30, 2025Updated last year
- The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019☆14Apr 4, 2020Updated 5 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Nov 3, 2020Updated 5 years ago
- Code for the paper "Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification" - ICDM 2019☆13Mar 25, 2023Updated 2 years ago
- Pytorch Implementation of LoG 22 [Oral] -- Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification☆17May 31, 2023Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Dec 7, 2022Updated 3 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Apr 26, 2022Updated 3 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Jun 29, 2020Updated 5 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Dec 3, 2018Updated 7 years ago
- [ICLR 2023] Link Prediction with Non-Contrastive Learning☆26Jan 13, 2023Updated 3 years ago
- A list of latest research papers on graph-bert☆47Dec 8, 2020Updated 5 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆25May 20, 2020Updated 5 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Feb 27, 2021Updated 4 years ago
- ☆22Dec 4, 2023Updated 2 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Feb 27, 2021Updated 4 years ago
- The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)☆26May 21, 2019Updated 6 years ago
- unsupervised relation discovery between two entities☆24Apr 20, 2019Updated 6 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆24Nov 2, 2022Updated 3 years ago
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆26May 27, 2022Updated 3 years ago
- Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks☆65Jan 3, 2022Updated 4 years ago
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆35Mar 14, 2022Updated 3 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆126Dec 29, 2021Updated 4 years ago
- DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification☆29May 27, 2021Updated 4 years ago
- 本项目是我发表于期刊 Expert Systems with Applications 的论文《Energy-efficient mechanism of task offloading and resource allocation for hierarchical ME…☆25Jun 19, 2025Updated 7 months ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆116Sep 9, 2024Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆492Dec 5, 2018Updated 7 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆118May 5, 2020Updated 5 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆507Aug 12, 2022Updated 3 years ago
- [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning☆34Mar 24, 2022Updated 3 years ago
- This is official Pytorch implementation of "Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks"…☆33Oct 23, 2022Updated 3 years ago
- ☆39Dec 8, 2022Updated 3 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆196Apr 24, 2024Updated last year
- Parameterized Explainer for Graph Neural Network☆142Feb 23, 2024Updated last year