On the public citation graph

M-Mix

0 signed · 47 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58621-8_45openalex-snapshot

Contrastive Multiview Coding

inferredcites →https://doi.org/10.1007/978-3-319-93037-4_14openalex-snapshot

Sub2Vec: Feature Learning for Subgraphs

inferredcites →https://doi.org/10.1007/978-3-540-45167-9_11openalex-snapshot

On Graph Kernels: Hardness Results and Efficient Alternatives

inferredcites →https://doi.org/10.1007/978-3-540-89689-0_33openalex-snapshot

IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning

inferredcites →https://doi.org/10.1093/bioinformatics/btx602openalex-snapshot

graphkernels: R and Python packages for graph comparison

inferredcites →https://doi.org/10.1109/cvpr.2017.576openalex-snapshot

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00407openalex-snapshot

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework

inferredcites →https://doi.org/10.1109/cvpr52688.2022.01610openalex-snapshot

Align Representations with Base: A New Approach to Self-Supervised Learning

inferredcites →https://doi.org/10.1109/icdm.2009.30openalex-snapshot

A Linear-Time Graph Kernel

inferredcites →https://doi.org/10.1145/2623330.2623732openalex-snapshot

DeepWalk

inferredcites →https://doi.org/10.1145/2783258.2783417openalex-snapshot

Deep Graph Kernels

inferredcites →https://doi.org/10.1145/2939672.2939754openalex-snapshot

node2vec

inferredcites →https://doi.org/10.1145/3132847.3132967openalex-snapshot

MGAE

inferredcites →https://doi.org/10.1145/3178876.3186120openalex-snapshot

VERSE

inferredcites →https://doi.org/10.1145/3394486.3403168openalex-snapshot

GCC

inferredcites →https://doi.org/10.14778/1687627.1687631openalex-snapshot

Comparing stars

inferredcites →https://doi.org/10.24963/ijcai.2018/362openalex-snapshot

Adversarially Regularized Graph Autoencoder for Graph Embedding

inferredcites →https://doi.org/10.48550/arxiv.1710.09412openalex-snapshot

mixup: Beyond Empirical Risk Minimization

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4671157openalex-extracted

inferred← citeshttps://doi.org/10.1007/s11263-023-01864-0openalex-snapshot

Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-identification

inferred← citeshttps://doi.org/10.1007/s41870-024-02334-7openalex-snapshot

Data augmentation for blurred-text image deblurring using non-euclidean extrapolations

inferred← citeshttps://doi.org/10.1016/j.artmed.2026.103353openalex-snapshot

BRLA-DDI: A novel framework for drug–drug interaction extraction

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112271openalex-snapshot

SGCL: Semi-supervised Graph Contrastive Learning with confidence propagation algorithm for node classification

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128851openalex-snapshot

S2CA: Shared Concept Prototypes and Concept-level Alignment for text–video retrieval

inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106522openalex-snapshot

Probability graph complementation contrastive learning

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00244openalex-snapshot

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

inferred← citeshttps://doi.org/10.1109/cyberscitech68397.2025.00067openalex-snapshot

GraphIC: Synthesizing Harder Samples for Imbalanced Node Classification

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889769openalex-snapshot

Graph Pooling via Dropping Task-Irrelevant Nodes

inferred← citeshttps://doi.org/10.1109/iccv51701.2025.02281openalex-snapshot

Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code

inferred← citeshttps://doi.org/10.1109/icdmw60847.2023.00145openalex-snapshot

DropMix: Better Graph Contrastive Learning with Harder Negative Samples

inferred← citeshttps://doi.org/10.1109/icme57554.2024.10688251openalex-snapshot

A Benchmark of Zero-Shot Cross-Lingual Task-Oriented Dialogue Based on Adversarial Contrastive Representation Learning

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651019openalex-snapshot

Is Encoded Popularity Always Harmful? Explicit Debiasing with Augmentation for Contrastive Collaborative Filtering

inferred← citeshttps://doi.org/10.1109/tgrs.2024.3354304openalex-snapshot

Triplet Contrastive Learning Framework With Adversarial Hard-Negative Sample Generation for Multimodal Remote Sensing Images

inferred← citeshttps://doi.org/10.1109/tifs.2024.3444319openalex-snapshot

ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing

inferred← citeshttps://doi.org/10.1109/tkde.2023.3271677openalex-snapshot

OMG: Towards Effective Graph Classification Against Label Noise

inferred← citeshttps://doi.org/10.1109/tnnls.2025.3530427openalex-snapshot

Weighted Contrastive Learning With Hard Negative Mining for Positive and Unlabeled Learning

inferred← citeshttps://doi.org/10.1109/tnnls.2025.3610948openalex-snapshot

Hard Sample Mining: A New Paradigm of Efficient and Robust Model Training

inferred← citeshttps://doi.org/10.1109/tpami.2025.3593407openalex-snapshot

Bringing Equity to Classification: Domain Generalization for Domain-Linked Classes

inferred← citeshttps://doi.org/10.1145/3580305.3599262openalex-snapshot

B 2 -Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning

inferred← citeshttps://doi.org/10.1145/3580305.3599263openalex-snapshot

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs

inferred← citeshttps://doi.org/10.1145/3580305.3599374openalex-snapshot

GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification

inferred← citeshttps://doi.org/10.1145/3580305.3599483openalex-snapshot

R-Mixup: Riemannian Mixup for Biological Networks

inferred← citeshttps://doi.org/10.1145/3637528.3671852openalex-snapshot

Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range

inferred← citeshttps://doi.org/10.1145/3690624.3709326openalex-snapshot

LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning

inferred← citeshttps://doi.org/10.1145/3696206openalex-snapshot

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability

inferred← citeshttps://doi.org/10.1145/3696410.3714690openalex-snapshot

Compress and Mix: Advancing Efficient Taxonomy Completion with Large Language Models

inferred← citeshttps://doi.org/10.1145/3816254openalex-snapshot

FairNS: Fair Negative Sampling in Collaborative Filtering via Diffusion Models

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.