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RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation

https://doi.org/10.1145/3679200
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-30796-7_8openalex-snapshot
The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data
inferredcites →https://doi.org/10.1007/978-3-030-58586-0_32openalex-snapshot
Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1007/s10791-021-09390-8openalex-snapshot
Improved reviewer assignment based on both word and semantic features
inferredcites →https://doi.org/10.1016/j.asoc.2020.106483openalex-snapshot
Identifying expertise through semantic modeling: A modified BBPSO algorithm for the reviewer assignment problem
inferredcites →https://doi.org/10.1016/j.compind.2015.11.001openalex-snapshot
An intelligent decision support approach for reviewer assignment in R&D project selection
inferredcites →https://doi.org/10.1016/j.future.2020.11.021openalex-snapshot
Improving University Faculty Evaluations via multi-view Knowledge Graph
inferredcites →https://doi.org/10.1016/j.ipm.2022.103028openalex-snapshot
Reviewer assignment algorithms for peer review automation: A survey
inferredcites →https://doi.org/10.1016/j.knosys.2010.04.008openalex-snapshot
Temporal expert finding through generalized time topic modeling
inferredcites →https://doi.org/10.1016/j.knosys.2016.05.041openalex-snapshot
A recommender system of reviewers and experts in reviewing problems
inferredcites →https://doi.org/10.1016/j.knosys.2021.106744openalex-snapshot
Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks
inferredcites →https://doi.org/10.1080/01969722.2020.1871227openalex-snapshot
Decision Support System for Solving Reviewer Assignment Problem
inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-snapshot
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
inferredcites →https://doi.org/10.1109/tetc.2018.2861214openalex-snapshot
Additional Reviewer Assignment by Means of Weighted Association Rules
inferredcites →https://doi.org/10.1109/tkde.2021.3125424openalex-snapshot
Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network
inferredcites →https://doi.org/10.1109/tkde.2022.3155155openalex-snapshot
Region or Global A Principle for Negative Sampling in Graph-based Recommendation
inferredcites →https://doi.org/10.1109/tkde.2022.3172903openalex-snapshot
Graph Self-Supervised Learning: A Survey
inferredcites →https://doi.org/10.1109/tkde.2023.3282907openalex-snapshot
Self-Supervised Learning for Recommender Systems: A Survey
inferredcites →https://doi.org/10.1109/tpami.2022.3170559openalex-snapshot
Self-Supervised Learning of Graph Neural Networks: A Unified Review
inferredcites →https://doi.org/10.1142/s0219622010003993openalex-snapshot
A COMPREHENSIVE SURVEY OF THE REVIEWER ASSIGNMENT PROBLEM
inferredcites →https://doi.org/10.1145/1148170.1148181openalex-snapshot
Formal models for expert finding in enterprise corpora
inferredcites →https://doi.org/10.1145/1281192.1281247openalex-snapshot
Expertise modeling for matching papers with reviewers
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1835449.1835563openalex-snapshot
Discriminative models of integrating document evidence and document-candidate associations for expert search
inferredcites →https://doi.org/10.1145/2979672openalex-snapshot
Computational support for academic peer review
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3038912.3052639openalex-snapshot
Collaborative Metric Learning
inferredcites →https://doi.org/10.1145/3219819.3219823openalex-snapshot
Deep Interest Network for Click-Through Rate Prediction
inferredcites →https://doi.org/10.1145/3292500.3330899openalex-snapshot
Paper Matching with Local Fairness Constraints
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3336191.3371831openalex-snapshot
RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
inferredcites →https://doi.org/10.1145/3361719openalex-snapshot
A Multi-Label Classification Method Using a Hierarchical and Transparent Representation for Paper-Reviewer Recommendation
inferredcites →https://doi.org/10.1145/3373807openalex-snapshot
Efficient Neural Matrix Factorization without Sampling for Recommendation
inferredcites →https://doi.org/10.1145/3394486.3403050openalex-snapshot
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph
inferredcites →https://doi.org/10.1145/3394486.3403218openalex-snapshot
Understanding Negative Sampling in Graph Representation Learning
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3404835.3462862openalex-snapshot
Self-supervised Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3437963.3441660openalex-snapshot
WSDM 2021 Tutorial on Systematic Challenges and Computational Solutions on Bias and Unfairness in Peer Review
inferredcites →https://doi.org/10.1145/3447548.3467340openalex-snapshot
Socially-Aware Self-Supervised Tri-Training for Recommendation
inferredcites →https://doi.org/10.1145/3459637.3482264openalex-snapshot
How Powerful is Graph Convolution for Recommendation?
inferredcites →https://doi.org/10.1145/3464304openalex-snapshot
Knowledge-Guided Disentangled Representation Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3477495.3531937openalex-snapshot
Are Graph Augmentations Necessary?
inferredcites →https://doi.org/10.1145/3511019openalex-snapshot
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation
inferredcites →https://doi.org/10.1145/3511808.3557680openalex-snapshot
RecBole 2.0: Towards a More Up-to-Date Recommendation Library
inferredcites →https://doi.org/10.1145/3534678.3539210openalex-snapshot
OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services
inferredcites →https://doi.org/10.1145/3534678.3539473openalex-snapshot
Self-Supervised Hypergraph Transformer for Recommender Systems
inferredcites →https://doi.org/10.1145/3535101openalex-snapshot
Graph Neural Networks in Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/3543507.3583530openalex-snapshot
ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation
inferredcites →https://doi.org/10.1145/3589334.3645533openalex-snapshot
RecDCL: Dual Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1145/3616855.3635845openalex-snapshot
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
inferredcites →https://doi.org/10.1145/3637528.3672354openalex-snapshot
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining
inferredcites →https://doi.org/10.1145/3678004openalex-snapshot
How Can Recommender Systems Benefit from Large Language Models: A Survey
inferredcites →https://doi.org/10.1609/aaai.v35i6.16609openalex-snapshot
A Market-Inspired Bidding Scheme for Peer Review Paper Assignment
inferredcites →https://doi.org/10.18653/v1/d19-1371openalex-snapshot
SciBERT: A Pretrained Language Model for Scientific Text
inferredcites →https://doi.org/10.24963/ijcai.2017/239openalex-snapshot
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
inferredcites →https://doi.org/10.24963/ijcai.2021/473openalex-snapshot
Graph Debiased Contrastive Learning with Joint Representation Clustering

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-92-0378-9_26openalex-snapshot
ExperMatch: A Unified Benchmark for Bidirectional and Cross-Domain Expertise Matching
inferred← citeshttps://doi.org/10.1007/978-981-92-3551-3_6openalex-snapshot
Reviewer Recommendation for Technology Project Groups Incorporating Industry Features
inferred← citeshttps://doi.org/10.1007/978-981-95-7141-3_10openalex-snapshot
Early Detection of Multimodal Hot-Topic Misinformation in User-Generated Content
inferred← citeshttps://doi.org/10.1016/j.chaos.2026.118738openalex-snapshot
CLEAR-X: Contrastive learning with explainable re-ranking for academic reviewer recommendation
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103081openalex-snapshot
DyLas: A dynamic label alignment strategy for large-scale multi-label text classification
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103641openalex-snapshot
CUPre: Cross-domain Unsupervised Pre-training for few-shot cell segmentation
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.104004openalex-snapshot
PIFGSR: Pluggable framework for information fusion using generative artificial intelligence (GenAI) in recommender systems
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.105033openalex-snapshot
TailoredUAA: Uncertainty-Aware Alignment with Noisy Correspondence for Text-based Person Re-identification
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108669openalex-snapshot
Cross-view contrastive representation learning on meta-path induced graphs with node features for bundle recommendation
inferred← citeshttps://doi.org/10.1109/dsis67228.2025.11390158openalex-snapshot
TGRV: Triple Graph-Based Retrieval and Verification for Hallucination Detection in Large Language Models
inferred← citeshttps://doi.org/10.1109/iceict66683.2025.11159875openalex-snapshot
Sampling Strategy Enhancement of Multimedia Recommendation Based on MGCN
inferred← citeshttps://doi.org/10.1109/tcss.2025.3547904openalex-snapshot
A Novel Gaussian Process Approach for Prediction of University Academic Evaluation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3569680openalex-snapshot
TIRAGNN: Temporal and Implicit Relation-Aware Graph Neural Networks for Social Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3593331openalex-snapshot
LCLRD: Link Prediction via Contrastive Learning With Relational Distillation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3637591openalex-snapshot
Paired Channel Enhanced Sign-Aware Graph Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2025.3591056openalex-snapshot
Thinking on Context: Inductive Relation Prediction Guided by the Reasoning Ability of Large Language Models
inferred← citeshttps://doi.org/10.1109/tkde.2025.3611270openalex-snapshot
GDiffMAE: Guided Diffusion Enhanced Mask Graph AutoEncoder for Recommendation
inferred← citeshttps://doi.org/10.1109/tsmc.2026.3703824openalex-snapshot
Heterogeneous Debiasing Contrastive Learning for Graph Recommendation
inferred← citeshttps://doi.org/10.1145/3698193openalex-snapshot
MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations
inferred← citeshttps://doi.org/10.1145/3774904.3792482openalex-snapshot
AC$ 2 $L-GAD: Active Counterfactual Contrastive Learning for Graph Anomaly Detection
inferred← citeshttps://doi.org/10.1145/3803789openalex-snapshot
Causal Disentanglement-Enhanced Diffusion Denoising for Social Recommendation
inferred← citeshttps://doi.org/10.14778/3748191.3748216openalex-snapshot
Towards Pattern-Aware Data Augmentation for Temporal Knowledge Graph Completion
inferred← citeshttps://doi.org/10.3390/s25061855openalex-snapshot
Large Language Model-Driven 3D Hyper-Realistic Interactive Intelligent Digital Human System
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