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https://doi.org/10.2139/ssrn.4663053

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

inferredcites →https://doi.org/10.1002/widm.1454openalex-extracted
Subgraph mining in a large graph: A review
inferredcites →https://doi.org/10.1007/978-3-030-04921-8openalex-extracted
High-Utility Pattern Mining
inferredcites →https://doi.org/10.1007/978-3-030-49461-2_34openalex-extracted
YAGO 4: A Reason-able Knowledge Base
inferredcites →https://doi.org/10.1007/978-3-319-46523-4_30openalex-extracted
RDF2Vec: RDF Graph Embeddings for Data Mining
inferredcites →https://doi.org/10.1007/978-3-319-58961-9_12openalex-extracted
Introducing VF3: A New Algorithm for Subgraph Isomorphism
inferredcites →https://doi.org/10.1007/978-3-319-71682-4_5openalex-extracted
Cooperative Multi-agent Control Using Deep Reinforcement Learning
inferredcites →https://doi.org/10.1007/978-3-319-93417-4_38openalex-extracted
Modeling Relational Data with Graph Convolutional Networks
inferredcites →https://doi.org/10.1007/s10489-022-04105-yopenalex-extracted
A review of cooperative multi-agent deep reinforcement learning
inferredcites →https://doi.org/10.1016/j.cor.2021.105400openalex-extracted
Reinforcement learning for combinatorial optimization: A survey
inferredcites →https://doi.org/10.1016/j.engappai.2020.103539openalex-extracted
Fast and scalable algorithms for mining subgraphs in a single large graph
inferredcites →https://doi.org/10.1016/j.inffus.2022.07.001openalex-extracted
Heterogeneous relational reasoning in knowledge graphs with reinforcement learning
inferredcites →https://doi.org/10.1016/j.knosys.2019.105241openalex-extracted
Mining cost-effective patterns in event logs
inferredcites →https://doi.org/10.1016/j.neunet.2022.05.026openalex-extracted
Graph Transformer Networks: Learning meta-path graphs to improve GNNs
inferredcites →https://doi.org/10.1093/nar/gkx1037openalex-extracted
DrugBank 5.0: a major update to the DrugBank database for 2018
inferredcites →https://doi.org/10.1109/icdm51629.2021.00021openalex-extracted
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
inferredcites →https://doi.org/10.1109/tetci.2022.3222545openalex-extracted
Reinforcement Learning on Graphs: A Survey
inferredcites →https://doi.org/10.1109/tkde.2017.2754499openalex-extracted
Knowledge Graph Embedding: A Survey of Approaches and Applications
inferredcites →https://doi.org/10.1109/tkde.2020.3045924openalex-extracted
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark
inferredcites →https://doi.org/10.1109/tkde.2022.3149815openalex-extracted
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network
inferredcites →https://doi.org/10.1109/tnnls.2021.3070843openalex-extracted
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
inferredcites →https://doi.org/10.1109/tnnls.2023.3281716openalex-extracted
Motif Graph Neural Network
inferredcites →https://doi.org/10.1109/tpami.2023.3235931openalex-extracted
Adaptive Subgraph Neural Network with Reinforced Critical Structure Mining
inferredcites →https://doi.org/10.1145/2623330.2623732openalex-extracted
DeepWalk
inferredcites →https://doi.org/10.1145/2939672.2939754openalex-extracted
node2vec
inferredcites →https://doi.org/10.1145/3292500.3330961openalex-extracted
Heterogeneous Graph Neural Network
inferredcites →https://doi.org/10.1145/3308558.3313562openalex-extracted
Heterogeneous Graph Attention Network
inferredcites →https://doi.org/10.1145/3331184.3331410openalex-extracted
Social Knowledge Graph Explorer
inferredcites →https://doi.org/10.1145/3366423.3380027openalex-extracted
Heterogeneous Graph Transformer
inferredcites →https://doi.org/10.1145/3394486.3403045openalex-extracted
Higher-order Clustering in Complex Heterogeneous Networks
inferredcites →https://doi.org/10.1145/3394486.3403088openalex-extracted
Policy-GNN: Aggregation Optimization for Graph Neural Networks
inferredcites →https://doi.org/10.1145/3442381.3449822openalex-extracted
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
inferredcites →https://doi.org/10.1145/3447548.3467057openalex-extracted
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba
inferredcites →https://doi.org/10.1145/3490181openalex-extracted
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
inferredcites →https://doi.org/10.1145/3534678.3539321openalex-extracted
GraphMAE: Self-Supervised Masked Graph Autoencoders
inferredcites →https://doi.org/10.1145/3534678.3539396openalex-extracted
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
inferredcites →https://doi.org/10.1145/3580510openalex-extracted
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks
inferredcites →https://doi.org/10.1609/aaai.v28i1.8870openalex-extracted
Knowledge Graph Embedding by Translating on Hyperplanes
inferredcites →https://doi.org/10.1609/aaai.v32i1.11492openalex-extracted
Emergence of Grounded Compositional Language in Multi-Agent Populations
inferredcites →https://doi.org/10.1609/aaai.v32i1.11794openalex-extracted
Counterfactual Multi-Agent Policy Gradients
inferredcites →https://doi.org/10.1609/aaai.v34i04.5987openalex-extracted
Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification
inferredcites →https://doi.org/10.1609/aaai.v35i16.17670openalex-extracted
GDPNet: Refining Latent Multi-View Graph for Relation Extraction
inferredcites →https://doi.org/10.1609/aaai.v36i5.20491openalex-extracted
Geometry Interaction Knowledge Graph Embeddings
inferredcites →https://doi.org/10.17863/cam.48429openalex-extracted
Graph Attention Networks
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.295openalex-extracted
Relational Graph Attention Network for Aspect-based Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.201openalex-extracted
Sequence-to-Sequence Knowledge Graph Completion and Question Answering
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-extracted
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.4230/lipics.sea.2024.20openalex-extracted
Targeted Branching for the Maximum Independent Set Problem Using Graph Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1507.06527openalex-extracted
Deep Recurrent Q-Learning for Partially Observable MDPs
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-extracted
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1702.08887openalex-extracted
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1704.01665openalex-extracted
Learning Combinatorial Optimization Algorithms over Graphs
inferredcites →https://doi.org/10.48550/arxiv.1706.02216openalex-extracted
Inductive Representation Learning on Large Graphs
inferredcites →https://doi.org/10.48550/arxiv.1802.08757openalex-extracted
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
inferredcites →https://doi.org/10.48550/arxiv.1803.11485openalex-extracted
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1901.05351openalex-extracted
Representation Learning on Graphs: A Reinforcement Learning Application
inferredcites →https://doi.org/10.48550/arxiv.1911.03082openalex-extracted
Composition-based Multi-Relational Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.2004.00216openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2004.12362openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2007.02133openalex-extracted
Simple and Deep Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.2010.02474openalex-extracted
Reward Propagation Using Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.2101.08170openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2104.07886openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2106.06218openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2106.07297openalex-extracted
Node Classification Meets Link Prediction on Knowledge Graphs
inferredcites →https://doi.org/10.48550/arxiv.2112.14936openalex-extracted
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks
inferredcites →https://doi.org/10.48550/arxiv.2203.10321openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2205.10803openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2207.02547openalex-extracted
inferredcites →https://doi.org/10.5772/intechopen.103984openalex-extracted
Deep Learning and Reinforcement Learning
inferredcites →https://doi.org/10.65109/jsrc7365openalex-extracted
Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward
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