Home › Code › sparse_mx_to_torch_sparse_tensor

sparse_mx_to_torch_sparse_tensor

Syntologyentry name in harvested coderead from the graph 2026-09-24

sparse_mx_to_torch_sparse_tensor appears in the code Syntology harvested for 41 papers, as 13 distinct code bodies found in 42 places (a place is one code body under one paper). At least one of them ran in 33 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named sparse_mx_to_torch_sparse_tensor do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 7 of the 13 distinct code bodies named sparse_mx_to_torch_sparse_tensor; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
4ran
6unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 19 of the 42 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

41 papers shown of 41, newest first; 42 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 3 papers added by Syntology; 2 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Bayesian Neighborhood Adaptation for Graph Neural Networks added by Syntology 2026-02 (from id) paribeshregmi/BNA-GNN/utils/utils.py c97b99c4e8201a97 ran · our draft was wrong no licence file found · pointer only
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 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 ran · our draft was wrong no licence file found · pointer only
Balanced Multi-Relational Graph Clustering 23 Jul 2024 zxlearningdeep/bmgc/BMGC/module/preprocess.py c97b99c4e8201a97 ran · our draft was wrong no licence file found · pointer only
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer 19 Jul 2024 air029/polyformer/node_classification_large_graph/processing_dataset.py c97b99c4e8201a97 ran · our draft was wrong no licence file found · pointer only
Rethinking Fair Graph Neural Networks from Re-balancing 16 Jul 2024 zhixunlee/fairgb/data_utils.py bdc1f1dad6d978e7 ran · our draft was wrong MIT (permissive)
ARC: A Generalist Graph Anomaly Detector with In-Context Learning 27 May 2024 yixinliu233/arc/utils.py bdc1f1dad6d978e7 ran · our draft was wrong no licence file found · pointer only
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning 6 May 2024 DMIRLAB-Group/TNet/src/utils.py 8fdb4158a7c629d1 ran no licence file found · pointer only
KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation 31 Mar 2024 JihuaPeng/KTPFormer/common/graph_utils.py bdc1f1dad6d978e7 ran · our draft was wrong no licence file found · pointer only
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach 12 Mar 2024 kkhuang81/AdaptKry/m3utils.py c97b99c4e8201a97 ran · our draft was wrong MIT (permissive)
Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network 18 Feb 2024 linchen-65/restruct/preprocess_node_classification.py 9378be67198d5141 ran 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 ran no licence file found · pointer only
Towards Effective and General Graph Unlearning via Mutual Evolution 22 Jan 2024 xkli-allen/megu/exp/exp_megu.py bdc1f1dad6d978e7 ran · our draft was wrong no licence file found · pointer only
FedGTA: Topology-aware Averaging for Federated Graph Learning 22 Jan 2024 xkli-allen/fedgta/utils.py bdc1f1dad6d978e7 ran · our draft was wrong no licence file found · pointer only
Graph Transformers for Large Graphs 18 Dec 2023 snap-research/largegt/data_utils.py bdc1f1dad6d978e7 ran · our draft was wrong no licence file found · pointer only
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding 14 Dec 2023 liunian-jay/icmvc/utils/graph_adjacency.py bdc1f1dad6d978e7 ran · our draft was wrong no licence file found · pointer only
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection 4 Oct 2023 xydong127/rqgnn/utils.py 3a4f32143a136d50 ran no licence file found · pointer only
Approximately Equivariant Graph Networks 21 Aug 2023 nhuang37/approx_equivariant_graph_nets/Human_Pose_Est/common/graph_utils.py bdc1f1dad6d978e7 ran · our draft was wrong no licence file found · pointer only
Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning 8 Aug 2023 czt117/csrms/graph/calcu_graph.py c97b99c4e8201a97 ran · our draft was wrong no licence file found · pointer only
A Simple and Scalable Graph Neural Network for Large Directed Graphs 14 Jun 2023 seijimaekawa/a2dug/src/process_spmm_dire.py c97b99c4e8201a97 ran · our draft was wrong MIT (permissive)
Learning Strong Graph Neural Networks with Weak Information 29 May 2023 yixinliu233/d2pt/utils.py c97b99c4e8201a97 ran · our draft was wrong MIT (permissive)
Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image 5 Feb 2023 PengfeiRen96/DIR/SemGCN/utils.py bdc1f1dad6d978e7 ran · our draft was wrong MIT (permissive)
DiffPose: Toward More Reliable 3D Pose Estimation 30 Nov 2022 GONGJIA0208/Diffpose/models/ChebConv.py bdc1f1dad6d978e7 ran · our draft was wrong MIT (permissive)
Revisiting Heterophily For Graph Neural Networks 14 Oct 2022 SitaoLuan/ACM-GNN/ACM-Geometric/utils.py bdc1f1dad6d978e7 ran · our draft was wrong 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 ran · our draft was wrong no licence file found · pointer only
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 ran · our draft was wrong 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 ran · our draft was wrong MIT (permissive)
Deep Structural Point Process for Learning Temporal Interaction Networks 8 Jul 2021 cjx96/DSPP/DSPP_src/utils/BipartiteGraph.py c97b99c4e8201a97 ran · our draft was wrong 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 ran · our draft was wrong 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 ran · our draft was wrong MIT (permissive)
Structural Deep Clustering Network 5 Feb 2020 461054993/SDCN/utils.py c97b99c4e8201a97 ran · our draft was wrong Apache-2.0 (permissive)
Simplifying Graph Convolutional Networks 19 Feb 2019 Tiiiger/SGC/utils.py c97b99c4e8201a97 ran · our draft was wrong MIT (permissive)
arXiv:aaai_29088 Stefa1994/QuaterGCN/src/QuaterGCN.py faa54fc62495a40c unverified Apache-2.0 (permissive)
arXiv:aaai_29088 Stefa1994/QuaterGCN/src/Edge_QuaterGCN.py e0edf5cb2f7c039f unverified Apache-2.0 (permissive)
arXiv:aaai_26026 JHL-HUST/PMMM/node_classification/preprocess.py 9378be67198d5141 ran MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections