| Bayesian Neighborhood Adaptation for Graph Neural Networks added by Syntology |
2026-02 (from id) |
paribeshregmi/BNA-GNN/utils/utils.py c97b99c4e8201a97 |
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| Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction added by Syntology |
2026-01 (from id) |
identical code first harvested elsewhere f18d89df1cb06ebb |
ran · our draft was wrong
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licence of this copy not recorded |
| Enhancing Graph Classification Robustness with Singular Pooling added by Syntology |
2025-10 (from id) |
king/rs-pool/src/models/utils.py 208d1e7dd9c65347 |
unverified |
licence not identified · pointer only |
| Training Robust Graph Neural Networks by Modeling Noise Dependencies |
27 Feb 2025 |
yeonjun-in/torch-da-gnn/models/dagnn.py f18d89df1cb06ebb |
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| Balanced Multi-Relational Graph Clustering |
23 Jul 2024 |
zxlearningdeep/bmgc/BMGC/module/preprocess.py c97b99c4e8201a97 |
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| PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer |
19 Jul 2024 |
air029/polyformer/node_classification_large_graph/processing_dataset.py c97b99c4e8201a97 |
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| Rethinking Fair Graph Neural Networks from Re-balancing |
16 Jul 2024 |
zhixunlee/fairgb/data_utils.py bdc1f1dad6d978e7 |
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MIT (permissive) |
| ARC: A Generalist Graph Anomaly Detector with In-Context Learning |
27 May 2024 |
yixinliu233/arc/utils.py bdc1f1dad6d978e7 |
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| Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning |
6 May 2024 |
DMIRLAB-Group/TNet/src/utils.py 8fdb4158a7c629d1 |
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| KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation |
31 Mar 2024 |
JihuaPeng/KTPFormer/common/graph_utils.py bdc1f1dad6d978e7 |
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| Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach |
12 Mar 2024 |
kkhuang81/AdaptKry/m3utils.py c97b99c4e8201a97 |
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MIT (permissive) |
| Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network |
18 Feb 2024 |
linchen-65/restruct/preprocess_node_classification.py 9378be67198d5141 |
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MIT (permissive) |
| Descriptive Kernel Convolution Network with Improved Random Walk Kernel |
8 Feb 2024 |
mengchillee/rwk_plus/sec_5_1_RWKP/anomaly_detection/utlis.py 8173512105bae4fb |
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| Towards Effective and General Graph Unlearning via Mutual Evolution |
22 Jan 2024 |
xkli-allen/megu/exp/exp_megu.py bdc1f1dad6d978e7 |
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| FedGTA: Topology-aware Averaging for Federated Graph Learning |
22 Jan 2024 |
xkli-allen/fedgta/utils.py bdc1f1dad6d978e7 |
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| Graph Transformers for Large Graphs |
18 Dec 2023 |
snap-research/largegt/data_utils.py bdc1f1dad6d978e7 |
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| Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding |
14 Dec 2023 |
liunian-jay/icmvc/utils/graph_adjacency.py bdc1f1dad6d978e7 |
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| Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection |
4 Oct 2023 |
xydong127/rqgnn/utils.py 3a4f32143a136d50 |
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| Approximately Equivariant Graph Networks |
21 Aug 2023 |
nhuang37/approx_equivariant_graph_nets/Human_Pose_Est/common/graph_utils.py bdc1f1dad6d978e7 |
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| Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning |
8 Aug 2023 |
czt117/csrms/graph/calcu_graph.py c97b99c4e8201a97 |
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| A Simple and Scalable Graph Neural Network for Large Directed Graphs |
14 Jun 2023 |
seijimaekawa/a2dug/src/process_spmm_dire.py c97b99c4e8201a97 |
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MIT (permissive) |
| Learning Strong Graph Neural Networks with Weak Information |
29 May 2023 |
yixinliu233/d2pt/utils.py c97b99c4e8201a97 |
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MIT (permissive) |
| Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image |
5 Feb 2023 |
PengfeiRen96/DIR/SemGCN/utils.py bdc1f1dad6d978e7 |
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MIT (permissive) |
| DiffPose: Toward More Reliable 3D Pose Estimation |
30 Nov 2022 |
GONGJIA0208/Diffpose/models/ChebConv.py bdc1f1dad6d978e7 |
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MIT (permissive) |
| Revisiting Heterophily For Graph Neural Networks |
14 Oct 2022 |
SitaoLuan/ACM-GNN/ACM-Geometric/utils.py bdc1f1dad6d978e7 |
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MIT (permissive) |
| Multi-modal Contrastive Representation Learning for Entity Alignment |
2 Sep 2022 |
lzxlin/mclea/src/utils.py edf110cbd4fe5ec5 |
unverified |
MIT (permissive) |
| Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem? |
3 Jun 2022 |
yimengmin/geometricscatteringmaximalclique/models.py bdc1f1dad6d978e7 |
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| SigMaNet: One Laplacian to Rule Them All |
26 May 2022 |
stefa1994/sigmanet/src/Edge_SigMaNet.py e0edf5cb2f7c039f |
unverified |
Apache-2.0 (permissive) |
| Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck |
31 Mar 2022 |
cjx96/cdrib/CDRIB/utils/GraphMaker.py c97b99c4e8201a97 |
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MIT (permissive) |
| Robustness of Graph Neural Networks at Scale |
26 Oct 2021 |
sigeisler/robustness_of_gnns_at_scale/rgnn_at_scale/models/deeprobust_rgcn.py c97b99c4e8201a97 |
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MIT (permissive) |
| Deep Structural Point Process for Learning Temporal Interaction Networks |
8 Jul 2021 |
cjx96/DSPP/DSPP_src/utils/BipartiteGraph.py c97b99c4e8201a97 |
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MIT (permissive) |
| FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning |
29 Apr 2021 |
juellsprott/graphair-reproducibility/models/fairgraph/method/fairadj/utils.py ef85e6c6e0154e09 |
unverified |
MIT (permissive) |
| SOON: Scenario Oriented Object Navigation with Graph-based Exploration |
31 Mar 2021 |
identical code first harvested elsewhere c97b99c4e8201a97 |
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licence of this copy not recorded |
| MagNet: A Neural Network for Directed Graphs |
22 Feb 2021 |
matthew-hirn/magnet/src/sparse_Magnet.py faa54fc62495a40c |
unverified |
Apache-2.0 (permissive) |
| Visual Pivoting for (Unsupervised) Entity Alignment |
28 Sep 2020 |
cambridgeltl/eva/src/utils.py edf110cbd4fe5ec5 |
unverified |
MIT (permissive) |
| Quaternion Graph Neural Networks |
12 Aug 2020 |
daiquocnguyen/QGNN/QGNN_pytorch/train_node_cls.py 56364513ade08760 |
unverified |
MIT (permissive) |
| A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS |
4 Apr 2020 |
walkerning/aw_nas/aw_nas/evaluator/arch_network.py c97b99c4e8201a97 |
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MIT (permissive) |
| Structural Deep Clustering Network |
5 Feb 2020 |
461054993/SDCN/utils.py c97b99c4e8201a97 |
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Apache-2.0 (permissive) |
| Simplifying Graph Convolutional Networks |
19 Feb 2019 |
Tiiiger/SGC/utils.py c97b99c4e8201a97 |
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MIT (permissive) |
| arXiv:aaai_29088 |
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Stefa1994/QuaterGCN/src/QuaterGCN.py faa54fc62495a40c |
unverified |
Apache-2.0 (permissive) |
| arXiv:aaai_29088 |
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Stefa1994/QuaterGCN/src/Edge_QuaterGCN.py e0edf5cb2f7c039f |
unverified |
Apache-2.0 (permissive) |
| arXiv:aaai_26026 |
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JHL-HUST/PMMM/node_classification/preprocess.py 9378be67198d5141 |
ran
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MIT (permissive) |