Reliable Data Distillation on Graph Convolutional Network

Summary: Reliable Data Distillation defines node and edge reliability to leverage unlabeled data in semi-supervised GCNs. Proposes a data-reliability–driven ensemble and a Self-Boosting SSL framework to curb teacher bias and cost, yielding state-of-the-art semi-supervised node classification. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5922
Venue: SIGMOD
Year: 2020
Pagerank: 5.0100594e-05
Overall Rank: 6,553 | 54.46%
DOI: 10.1145/3318464.3389706

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,162	Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks	2022	VLDB	0.00013573136
4,126	Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization	2021	VLDB	6.4242e-05
5,016	DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks	2023	SIGMOD	5.7512359e-05
5,169	HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training	2022	SIGMOD	5.642415e-05
6,479	EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs	2023	SIGMOD	5.0405101e-05
6,624	ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks	2021	SIGMOD	4.9841936e-05
6,983	CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression	2023	SIGMOD	4.8682622e-05
7,483	Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach	2024	VLDB	4.7135369e-05
9,095	Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization	2023	SIGMOD	4.3925641e-05

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
39	Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud	2012	VLDB	0.00075263552
271	AliGraph: A Comprehensive Graph Neural Network Platform	2019	VLDB	0.00029565193
3,840	Experimental Analysis of Streaming Algorithms for Graph Partitioning	2019	SIGMOD	6.7098606e-05
4,924	An Experimental Evaluation of Large Scale GBDT Systems	2019	VLDB	5.8211961e-05
7,139	A Graph Database for a Virtualized Network Infrastructure	2018	SIGMOD	4.8154459e-05
9,471	DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions	2018	SIGMOD	4.3300949e-05

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Overall Rank	Paper	Year	Venue	Pagerank
9,176	GraphGem: Optimized Scalable System for Graph Convolutional Networks	2021	SIGMOD	4.380382e-05
313	Graph Clustering Based on Structural/Attribute Similarities	2009	VLDB	0.0002809849
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6,479	EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs	2023	SIGMOD	5.0405101e-05
8,736	Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning	2024	SIGMOD	4.4520434e-05
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6,624	ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks	2021	SIGMOD	4.9841936e-05