Skip to content
  • Categories
  • Recent
  • Tags
  • Popular
  • World
  • Paper Copilot
Skins
  • Light
  • Cerulean
  • Cosmo
  • Flatly
  • Journal
  • Litera
  • Lumen
  • Lux
  • Materia
  • Minty
  • Morph
  • Pulse
  • Sandstone
  • Simplex
  • Sketchy
  • Spacelab
  • United
  • Yeti
  • Zephyr
  • Dark
  • Cyborg
  • Darkly
  • Quartz
  • Slate
  • Solar
  • Superhero
  • Vapor

  • Default (No Skin)
  • No Skin
Collapse
CSPaper

CSPaper: review sidekick

Go to CCFDDL
Go to CSRankings
Go to OpenReview
  1. Home
  2. Peer Review in Computer Science: good, bad & broken
  3. Data Mining & Database
  4. KDD 2025 2nd-round Review Results: How Did Your Paper Do?

KDD 2025 2nd-round Review Results: How Did Your Paper Do?

Scheduled Pinned Locked Moved Data Mining & Database
kdd2025rebuttal
21 Posts 10 Posters 1.1k Views
  • Oldest to Newest
  • Newest to Oldest
  • Most Votes
Reply
  • Reply as topic
Log in to reply
This topic has been deleted. Only users with topic management privileges can see it.
  • lelecaoL Offline
    lelecaoL Offline
    lelecao
    Super Users
    wrote on last edited by lelecao
    #5

    My reproducibility score hurt a lot because of my source code link does not work any more. I was using LimeWire + ShortURL. Real bad service! 😠

    Next time, I will use CSPaper!!

    https://cspaper.org/category/10/anonymous-sharing-supplementary-materials

    Here is an example:

    https://cspaper.org/topic/38/kdd2025-2nd-tgn-adapted-anonymous-source-code-for-review-only

    riverR 1 Reply Last reply
    1
    • riverR Offline
      riverR Offline
      river
      wrote on last edited by
      #6

      KDD community stats πŸ‘‡

      https://papercopilot.com/statistics/kdd-statistics/kdd-2025-statistics/

      Screenshot 2025-04-04 at 11.11.52.png

      1 Reply Last reply
      0
      • lelecaoL lelecao

        My reproducibility score hurt a lot because of my source code link does not work any more. I was using LimeWire + ShortURL. Real bad service! 😠

        Next time, I will use CSPaper!!

        https://cspaper.org/category/10/anonymous-sharing-supplementary-materials

        Here is an example:

        https://cspaper.org/topic/38/kdd2025-2nd-tgn-adapted-anonymous-source-code-for-review-only

        riverR Offline
        riverR Offline
        river
        wrote on last edited by
        #7

        @lelecao I feel you, been there too!

        1 Reply Last reply
        0
        • riverR Offline
          riverR Offline
          river
          wrote on last edited by root
          #8

          I made a summary of data points from KDD 2025 1st round results:

          Novelty Scores Technical Quality Scores Confidence Scores Rebuttal Outcome Final Decision Notes
          3 3 3 3 3 3 4 3 3 2 3 2 – Addressed issues βœ… Accepted "Rebuttal is so difficult with all the twists and turns"
          2 2 3 2 2 3 3 2 2 3 3 3 3 3 3 Submitted ❌ Rejected "Can I just run away?"
          4 3 3 1 4 4 2 2 – Explained issues ❌ Rejected "Large variance across reviewers; no score changes post-rebuttal"
          3 3 3 3 3 2 – Unsure 🟑 Unknown "Still considering rebuttal; not sure if it's worth the effort"
          3 3 3 3 3 3 3 3 3 3 3 2 – Minor clarifications βœ… Accepted "Final scores unchanged but accepted after positive AC decision"
          3 4 3 3 3 3 2 2 3 2 2 3 – Clarified results ❌ Rejected "Novelty OK, but TQ too weak; didn't convince reviewers"
          3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 Submitted βœ… Accepted "Strong consensus; one of the smoother cases"
          3 3 3 3 3 2 – No rebuttal ❌ Rejected "No rebuttal submitted; borderline scores"
          3 3 2 2 3 3 2 2 – Rebuttal sent ❌ Rejected "Reviewers did not change their opinion"
          3 3 3 3 3 3 3 3 3 3 2 2 – Rebuttal helped βœ… Accepted "Accepted despite one weaker reviewer"
          3 3 3 3 3 3 3 3 3 3 3 3 Rebuttal sent 🟑 Unknown "In limbo; waiting for final decision"
          3 3 3 3 2 2 2 2 – Not convincing ❌ Rejected "Work deemed not β€˜KDD-level’ despite rebuttal"
          3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 Submitted βœ… Accepted "Perfectly consistent reviewers; smooth acceptance"
          3 3 3 2 3 3 2 2 – Rebuttal failed ❌ Rejected "Low technical quality and variance led to rejection"

          πŸ“Œ Note: Data sourced from community discussions on Zhihu, Reddit, and OpenReview threads. Subject to sample bias.

          Hsi Ping LiH 1 Reply Last reply
          3
          • M magicparrots

            A data point:

            GNN work, got

            Novelty: 3, 2, 2, 3, 2
            Technical Quality: 2, 2, 2, 2, 2
            Confidence: 3, 4, 3, 4, 4

            Need to rebuttal? anyone knows more? 2 weeks challenge ahead!

            lelecaoL Offline
            lelecaoL Offline
            lelecao
            Super Users
            wrote on last edited by
            #9

            @magicparrots

            So sorry to hear that β€” sounds like a solid paper.

            For my case,
            One reviewer gave two 2s just because they didn’t see the value of improving efficiency or where it would be useful, even though that’s the whole point of many ML contributions. Another reviewer didn’t understand the paper and asked for line-by-line comments on pseudocode. That’s just disheartening.

            Also noticed each review response is limited to 2500 characters. Does anyone know if we can reply in multiple stacked comments?

            1 Reply Last reply
            2
            • Kevin CrisK Offline
              Kevin CrisK Offline
              Kevin Cris
              wrote on last edited by
              #10

              https://www.zhihu.com/question/12035973262/answers/updated
              some data points from Chinese researcher community

              1 Reply Last reply
              1
              • H Offline
                H Offline
                Hu8kKo34
                Super Users
                wrote on last edited by
                #11

                Anyone knows the likelihood of an NLP (LLM agent and its evaluation on many public datasets) work accepted to KDD, either main or applied data science track?

                1 Reply Last reply
                0
                • Nilesh VermaN Offline
                  Nilesh VermaN Offline
                  Nilesh Verma
                  wrote on last edited by
                  #12

                  what are the chances of acceptance in KDD feb, here is my score

                  Relevance: 3.5 (based on 4, 3, 4, 3, 4)
                  Novelty: 3.0 (based on 4, 3, 2, 3, 2)
                  Technical Quality: 3.0 (based on 3, 3, 3, 3, 3)
                  Presentation: 2.8 (based on 3, 3, 3, 2, 3)
                  Reproducibility: 3.0 (based on 3, 3, 3, 3, 3)
                  Reviewer Confidence: 3.4 (based on 3, 4, 3, 4, 3)

                  SylviaS Hsi Ping LiH 2 Replies Last reply
                  1
                  • Nilesh VermaN Nilesh Verma

                    what are the chances of acceptance in KDD feb, here is my score

                    Relevance: 3.5 (based on 4, 3, 4, 3, 4)
                    Novelty: 3.0 (based on 4, 3, 2, 3, 2)
                    Technical Quality: 3.0 (based on 3, 3, 3, 3, 3)
                    Presentation: 2.8 (based on 3, 3, 3, 2, 3)
                    Reproducibility: 3.0 (based on 3, 3, 3, 3, 3)
                    Reviewer Confidence: 3.4 (based on 3, 4, 3, 4, 3)

                    SylviaS Offline
                    SylviaS Offline
                    Sylvia
                    Super Users
                    wrote on last edited by root
                    #13

                    @Nilesh-Verma from what I hear, Novelty and TQ (combined with confidence) are two most important dimension for making the final decision. I think TQ scores are pretty good; Novelty scores are not bad either. If rebuttal can increase one of the "2"s to 3, then the chance of getting an acceptance will be even higher.

                    1 Reply Last reply
                    0
                    • rootR Offline
                      rootR Offline
                      root
                      wrote on last edited by root
                      #14

                      I hereby paste the historical acceptance rate of KDD research tracks

                      Conference Long Paper Acceptance Rate
                      KDD'14 14.6% (151/1036)
                      KDD'15 19.5% (160/819)
                      KDD'16 13.7% (142/1115)
                      KDD'17 17.4% (130/748)
                      KDD'18 18.4% (181/983) (107 orals and 74 posters)
                      KDD'19 14.2% (170/1200) (110 orals and 60 posters)
                      KDD'20 16.9% (216/1279)
                      KDD'22 15.0% (254/1695)
                      KDD'23 22.1% (313/1416)
                      KDD'24 20.0% (411/2046)

                      Note that KDD'24 accepted 151 ADS track papers from 738 submissions!

                      1 Reply Last reply
                      0
                      • SylviaS Offline
                        SylviaS Offline
                        Sylvia
                        Super Users
                        wrote on last edited by
                        #15

                        The KDD PC just opened the comment phase until Apr 18 (AoE). You can respond to reviewer follow-ups or raise concerns to AC/SAC via the Official Comment button.

                        ⚠️ A few don’ts:

                        • No URLs β€” they’ll auto-delete your comment.
                        • No bypassing rebuttal limits β€” don’t treat comments as extra rebuttal space.
                        • Don’t badger reviewers β€” 1 ping is enough.
                        • Stay respectful β€” tone matters.

                        Good luck everyone 🀞

                        1 Reply Last reply
                        1
                        • riverR river

                          I made a summary of data points from KDD 2025 1st round results:

                          Novelty Scores Technical Quality Scores Confidence Scores Rebuttal Outcome Final Decision Notes
                          3 3 3 3 3 3 4 3 3 2 3 2 – Addressed issues βœ… Accepted "Rebuttal is so difficult with all the twists and turns"
                          2 2 3 2 2 3 3 2 2 3 3 3 3 3 3 Submitted ❌ Rejected "Can I just run away?"
                          4 3 3 1 4 4 2 2 – Explained issues ❌ Rejected "Large variance across reviewers; no score changes post-rebuttal"
                          3 3 3 3 3 2 – Unsure 🟑 Unknown "Still considering rebuttal; not sure if it's worth the effort"
                          3 3 3 3 3 3 3 3 3 3 3 2 – Minor clarifications βœ… Accepted "Final scores unchanged but accepted after positive AC decision"
                          3 4 3 3 3 3 2 2 3 2 2 3 – Clarified results ❌ Rejected "Novelty OK, but TQ too weak; didn't convince reviewers"
                          3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 Submitted βœ… Accepted "Strong consensus; one of the smoother cases"
                          3 3 3 3 3 2 – No rebuttal ❌ Rejected "No rebuttal submitted; borderline scores"
                          3 3 2 2 3 3 2 2 – Rebuttal sent ❌ Rejected "Reviewers did not change their opinion"
                          3 3 3 3 3 3 3 3 3 3 2 2 – Rebuttal helped βœ… Accepted "Accepted despite one weaker reviewer"
                          3 3 3 3 3 3 3 3 3 3 3 3 Rebuttal sent 🟑 Unknown "In limbo; waiting for final decision"
                          3 3 3 3 2 2 2 2 – Not convincing ❌ Rejected "Work deemed not β€˜KDD-level’ despite rebuttal"
                          3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 Submitted βœ… Accepted "Perfectly consistent reviewers; smooth acceptance"
                          3 3 3 2 3 3 2 2 – Rebuttal failed ❌ Rejected "Low technical quality and variance led to rejection"

                          πŸ“Œ Note: Data sourced from community discussions on Zhihu, Reddit, and OpenReview threads. Subject to sample bias.

                          Hsi Ping LiH Offline
                          Hsi Ping LiH Offline
                          Hsi Ping Li
                          wrote last edited by Hsi Ping Li
                          #16

                          @river Hi river,

                          Excuse me, do you know if these scores are the final scores after the rebuttal? Really appreciate it if you could provide more information about this πŸ™‚

                          riverR 1 Reply Last reply
                          0
                          • Nilesh VermaN Nilesh Verma

                            what are the chances of acceptance in KDD feb, here is my score

                            Relevance: 3.5 (based on 4, 3, 4, 3, 4)
                            Novelty: 3.0 (based on 4, 3, 2, 3, 2)
                            Technical Quality: 3.0 (based on 3, 3, 3, 3, 3)
                            Presentation: 2.8 (based on 3, 3, 3, 2, 3)
                            Reproducibility: 3.0 (based on 3, 3, 3, 3, 3)
                            Reviewer Confidence: 3.4 (based on 3, 4, 3, 4, 3)

                            Hsi Ping LiH Offline
                            Hsi Ping LiH Offline
                            Hsi Ping Li
                            wrote last edited by
                            #17

                            @Nilesh-Verma Hi Nilesh, I am sure the scores of your paper are higher than those of most authors. Congs. Besides, did your reviewers increase their ratings for your paper in the rebuttal process?

                            1 Reply Last reply
                            1
                            • Hsi Ping LiH Hsi Ping Li

                              @river Hi river,

                              Excuse me, do you know if these scores are the final scores after the rebuttal? Really appreciate it if you could provide more information about this πŸ™‚

                              riverR Offline
                              riverR Offline
                              river
                              wrote last edited by
                              #18

                              @Hsi-Ping-Li

                              This the best effort scores, meaning I take the latest available scores reported in the community. If they are updated by the authors after rebuttal, then I take that, otherwise I would assume the scores did not change.

                              For the data points with accept/reject outcome, I think all of them are post-rebuttal scores.

                              Hsi Ping LiH 1 Reply Last reply
                              1
                              • M magicparrots

                                A data point:

                                GNN work, got

                                Novelty: 3, 2, 2, 3, 2
                                Technical Quality: 2, 2, 2, 2, 2
                                Confidence: 3, 4, 3, 4, 4

                                Need to rebuttal? anyone knows more? 2 weeks challenge ahead!

                                Hsi Ping LiH Offline
                                Hsi Ping LiH Offline
                                Hsi Ping Li
                                wrote last edited by
                                #19

                                @magicparrots

                                Hi magicparrots!

                                did the reviewers raise their scores for your paper after the rebuttal process?
                                I also submitted a paper about GNN, and only one reviewer out of five raised 1 score for my paper 😞

                                1 Reply Last reply
                                0
                                • riverR river

                                  @Hsi-Ping-Li

                                  This the best effort scores, meaning I take the latest available scores reported in the community. If they are updated by the authors after rebuttal, then I take that, otherwise I would assume the scores did not change.

                                  For the data points with accept/reject outcome, I think all of them are post-rebuttal scores.

                                  Hsi Ping LiH Offline
                                  Hsi Ping LiH Offline
                                  Hsi Ping Li
                                  wrote last edited by
                                  #20

                                  @river Many thanks for your details! πŸ™‚

                                  1 Reply Last reply
                                  0
                                  • rootR Offline
                                    rootR Offline
                                    root
                                    wrote last edited by
                                    #21

                                    Stats from official email:

                                    The Research Track of KDD 2025 (February Cycle) received 1988 submissions, with an overall acceptance rate of ~18.4%. All submissions received at least three reviews, while most had four or five. Area Chairs provided meta-reviews and preliminary recommendations, which were deliberated further by the Senior Area Chairs and decided on by the Program Chairs.

                                    ...

                                    A submission rejected from the Research Track may not be resubmitted within 12 months to the KDD Research Track (i.e., the earliest resubmission date of your paper to the KDD research track is February 2026).

                                    1 Reply Last reply
                                    0
                                    Reply
                                    • Reply as topic
                                    Log in to reply
                                    • Oldest to Newest
                                    • Newest to Oldest
                                    • Most Votes


                                    • 1
                                    • 2
                                    • Login

                                    • Don't have an account? Register

                                    • Login or register to search.
                                    Β© 2025 CSPaper.org Sidekick of Peer Reviews
                                    Debating the highs and lows of peer review in computer science.
                                    • First post
                                      Last post
                                    0
                                    • Categories
                                    • Recent
                                    • Tags
                                    • Popular
                                    • World
                                    • Paper Copilot