| One Node One Model: Featuring the Missing-Half for Graph Clustering |
13 Dec 2024 |
xiexuanting/fpgc/FPGC-main/utils.py b32fd748b4bbe3bf |
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| IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning |
14 Jun 2024 |
RingBDStack/IGL-Bench/IGL_Bench/algorithm/DEMONet/util.py 03c26d27b6d12de7 |
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| Combating Bilateral Edge Noise for Robust Link Prediction |
2 Nov 2023 |
flyingdoog/PTDNet/utils.py b32fd748b4bbe3bf |
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| Simple and Asymmetric Graph Contrastive Learning without Augmentations |
29 Oct 2023 |
graphdml-uiuc-jlu/geom-gcn/utils.py b32fd748b4bbe3bf |
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| CONVERT:Contrastive Graph Clustering with Reliable Augmentation |
17 Aug 2023 |
xihongyang1999/convert/utils.py b32fd748b4bbe3bf |
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| RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion |
31 Jan 2023 |
dovermore/randomized-deletion/src/torchmalware/certification/masking_mech.py fc750dd2d5bc8304 |
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| Multi-Objective GFlowNets |
23 Oct 2022 |
samuelstanton/lambo/lambo/models/mlm.py 30a113efdcdd9ae4 |
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Apache-2.0 (permissive) |
| MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution |
15 Aug 2022 |
wendongbi/MMGNN/main/process.py b32fd748b4bbe3bf |
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| A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks |
9 Jun 2022 |
oom-debugger/ijcai23/GCNII-master/process.py b32fd748b4bbe3bf |
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| Graph Ordering Attention Networks |
11 Apr 2022 |
michailchatzianastasis/goat/utils2.py b32fd748b4bbe3bf |
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| Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks |
1 Mar 2022 |
graph-com/peg/utils.py b32fd748b4bbe3bf |
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| SAITS: Self-Attention-based Imputation for Time Series |
17 Feb 2022 |
gorgen2020/LSSDM_imputation/dataset_pemsbay.py 353b5cb711bb921e |
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| Towards Unsupervised Deep Graph Structure Learning |
17 Jan 2022 |
grand-lab/sublime/data_loader.py b32fd748b4bbe3bf |
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| Evaluating Modules in Graph Contrastive Learning |
15 Jun 2021 |
thunlp/opengcl/src/opengcl/datasets/planetoid_dataset.py 8168a1e07d2c4a1f |
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| Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks |
16 Apr 2021 |
RingBDStack/HAE/HAE_GATGAT/execute_cora.py 72ba653e4f5592f9 |
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| SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data |
29 Mar 2021 |
jw9730/setvae/models/networks.py f3ac4b1a18df2e8f |
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| Uncertainty Aware Semi-Supervised Learning on Graph Data |
24 Oct 2020 |
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| Graph Convolutional Networks for Hyperspectral Image Classification |
6 Aug 2020 |
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| Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs |
20 Jun 2020 |
PetarV-/GAT/utils/process.py b32fd748b4bbe3bf |
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| Bandit Samplers for Training Graph Neural Networks |
10 Jun 2020 |
xavierzw/ogb-geniepath-bs/utils.py b32fd748b4bbe3bf |
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| Geom-GCN: Geometric Graph Convolutional Networks |
13 Feb 2020 |
bingzhewei/geom-gcn/utils.py 61cb7d8c95b55c0c |
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| How to train your neural ODE: the world of Jacobian and kinetic regularization |
7 Feb 2020 |
D-hash-code/ffjord-rnode-finalweek-mnist/lib/layers/coupling.py 3a7bef4c55086f50 |
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| GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction |
5 Nov 2019 |
CRIPAC-DIG/GraphAIR/tensorflow_code/utils.py b32fd748b4bbe3bf |
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| RWR-GAE: Random Walk Regularization for Graph Auto Encoders |
12 Aug 2019 |
MysteryVaibhav/DW-GAE/gae/utils.py b32fd748b4bbe3bf |
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| Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation |
6 Jun 2019 |
gatheluck/PatchGaussian/libs/mask.py 0af957208b1acfa3 |
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| Deep Bayesian Optimization on Attributed Graphs |
31 May 2019 |
csjtx1021/DGBO/gcn/utils.py b32fd748b4bbe3bf |
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| Predicting Path Failure In Time-Evolving Graphs |
10 May 2019 |
chocolates/predicting-path-failure-in-time-evolving-graphs/load_data.py 72ba653e4f5592f9 |
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| Heterogeneous Graph Attention Network |
2019-03 (from id) |
Jhy1993/HAN/ex_acm3025.py b32fd748b4bbe3bf |
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| Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels |
28 Feb 2019 |
Junseok0207/M3S_Pytorch/models/M3S.py 780134f804064be1 |
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| Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification |
13 Feb 2019 |
CRIPAC-DIG/H-GCN/tensorflow_code/utils.py b32fd748b4bbe3bf |
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| Bayesian graph convolutional neural networks for semi-supervised classification |
27 Nov 2018 |
huawei-noah/BGCN/src/utils_gcn.py b32fd748b4bbe3bf |
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| Multi-Task Graph Autoencoders |
7 Nov 2018 |
vuptran/graph-representation-learning/longae/utils_gcn.py b32fd748b4bbe3bf |
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| Learning with privileged information via adversarial discriminative modality distillation |
19 Oct 2018 |
pmorerio/admd/ActionRecogDatasets/codebase/parsers.py b5290762a80247bb |
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| Deep Graph Infomax |
27 Sep 2018 |
dfdazac/dgi/gcn/utils.py b32fd748b4bbe3bf |
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| Graph Convolutional Neural Networks via Scattering |
31 Mar 2018 |
identical code first harvested elsewhere b32fd748b4bbe3bf |
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| Graph Attention Networks |
30 Oct 2017 |
404nofound/gat/utils/process.py b32fd748b4bbe3bf |
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MIT (permissive) |
| Stochastic Training of Graph Convolutional Networks with Variance Reduction |
29 Oct 2017 |
thu-ml/stochastic_gcn/gcn/utils.py b32fd748b4bbe3bf |
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| Revisiting Semi-Supervised Learning with Graph Embeddings |
29 Mar 2016 |
asarigun/la-gcn-tensorflow/utils.py b32fd748b4bbe3bf |
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| arXiv:aaai_20873 |
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RICE-EIC/Early-Bird-GCN/gcn/utils.py b32fd748b4bbe3bf |
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