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Reviewers in the wild
The CS expert database: 1,777,551 experts · 2,837,695 papers in CCF A–C and ICORE A*–C venues · 10 venue-derived domains · snapshot 2026-09-22.
Experts by research domain — the database's own venue-derived domains; a paper can belong to several; active = at least one paper since 2021
Artificial intelligence and machine learning
419,855 active · 726,626 total · 856,312 papers
NeurIPS · AAAI · ESWA · CVPR · ICML · EAAI
Graphics, computer vision, multimedia, augmented reality and games
220,290 active · 419,218 total · 473,177 papers
AAAI · ICASSP · MTA · CVPR · INTERSPEECH · ICCV
Applied, interdisciplinary, general and emerging computing
306,612 active · 637,688 total · 436,260 papers
TGARS · IGARSS · TITS · TII · CogSci · Bioinformatics
Systems, architecture and hardware
148,087 active · 345,638 total · 325,499 papers
IROS · ICRA · VTC · ISCAS · TJSC · IECON
Computer networks
105,468 active · 214,616 total · 249,845 papers
IOT · ICC · GLOBECOM · TWC · TCOM · TMC
Databases, data management, data science and information retrieval
134,049 active · 269,256 total · 249,104 papers
IEEE BigData · CIKM · SIGKDD · TKDE · AEI · SIGIR
Theory of computation
38,447 active · 105,648 total · 202,645 papers
TIT · TCS · DAM · SODA · STOC · ICALP
Human-computer interaction and ubiquitous computing
114,847 active · 268,055 total · 198,672 papers
CHI · SMC · TSMC · SIGCSE · PACMHCI · IJHCI
Software engineering, systems software and programming languages
76,605 active · 178,952 total · 173,661 papers
DATE · COMPSAC · CoDIT · PACM PL · TSC · JSS
Security and privacy
57,527 active · 109,981 total · 102,399 papers
TIFS · TDSC · USENIX Security · TrustCom · CCS · JISA
Experts by expertise
The expertise taxonomy: 90,661 topics extracted from 634,694 papers of 537,692 experts, organised under the ten CCF categories and 168 areas. Pick a category, then narrow down to a topic; every level lists its experts by weight.
Artificial intelligence
231,922 experts · 238,182 papers
33 areas · 23,066 topics
Theoretical computer science
84,688 experts · 103,442 papers
15 areas · 12,358 topics
Computer architecture, parallel and distributed computing, and storage systems
119,266 experts · 88,175 papers
18 areas · 10,819 topics
Computer graphics and multimedia
99,217 experts · 74,150 papers
13 areas · 7,821 topics
Computer networks
79,947 experts · 72,281 papers
18 areas · 9,664 topics
Databases, data mining, and information retrieval
83,822 experts · 68,869 papers
17 areas · 7,059 topics
Network and information security
67,706 experts · 53,290 papers
15 areas · 5,550 topics
Interdisciplinary, comprehensive, and emerging computing
111,858 experts · 46,353 papers
9 areas · 5,108 topics
Human-computer interaction and pervasive computing
77,670 experts · 43,820 papers
16 areas · 4,757 topics
Software engineering, system software, and programming languages
53,122 experts · 40,802 papers
14 areas · 4,459 topics
Artificial intelligence›Machine learning›Graph learning›graph representation learning
topic
762 papers · 2,437 experts
Sub-topics
29 · with their number of papers; shaded topics divide further
node representation learning 94unsupervised graph representation learning 27molecular graph representation 21hierarchical graph representation 19structural encoding 15text-attributed graph learning 15inductive representation learning 10road network representation 10robust graph representation learning 9edge representation learning 8graph encoding 8edge embedding 7disentangled graph learning 6graph neural network representation learning 6structural feature learning 6embedding propagation 5higher-order graph structure 5scalable graph representation learning 5structural embedding 5text graph learning 5graph attribute imputation 4multi-view graph representation learning 4multiscale graph representation 4skeleton graph representation 4social network representation learning 4adversarial graph embedding 3hyperbolic graph representation learning 3invariant graph representation 3text-attributed graph embedding 3
Experts on graph representation learning
2,437 · by weight: papers on the topic counted with recency (1 for a paper about it, 0.3 as context, halved every five years)