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e4f7802 c6fc1a8 e4f7802 2a7e238 e4f7802 2a7e238 e4f7802 2a7e238 e4f7802 2a7e238 e4f7802 2a7e238 e4f7802 2a7e238 e4f7802 c6fc1a8 9422a5b c6fc1a8 9422a5b c6fc1a8 9422a5b c6fc1a8 9422a5b c6fc1a8 9422a5b c6fc1a8 9422a5b c6fc1a8 9422a5b c6fc1a8 e4f7802 2a7e238 e4f7802 2a7e238 e4f7802 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 | #include "graph.h"
#include <algorithm>
#include <queue>
#include <cstddef>
void Graph::add_edge(int32_t src, int32_t dst, float w) {
add_edge_typed(src, dst, w, -1, 1);
}
void Graph::add_edge_typed(int32_t src, int32_t dst, float w, int16_t type, int8_t pol) {
if (src < 0 || src >= n_ || dst < 0 || dst >= n_ || src == dst) return;
auto& e = adj_[src][dst];
/* ๊ฐ์ ์์ด ์ฌ๋ฌ ๋ฒ ์ค๋ฉด ๊ฐ์ฅ ๊ฐํ ๊ฒ์ ๋จ๊ธด๋ค.
* ํ์
์ ๊ทธ๋ ํจ๊ป ๊ฐฑ์ ํ๋ค โ ๊ฐ์ฅ ๊ฐํ ๊ทผ๊ฑฐ์ ์ ์ด๋ฅผ ๋ํ๋ก ์ด๋ค. */
if (w > e.w) { e.w = w; e.type = type; e.pol = pol; }
}
int64_t Graph::n_edges() const {
int64_t c = 0;
for (auto& m : adj_) c += static_cast<int64_t>(m.size());
return c;
}
float Graph::edge_weight(int32_t src, int32_t dst) const {
if (src < 0 || src >= n_) return 0.0f;
auto it = adj_[src].find(dst);
return it == adj_[src].end() ? 0.0f : it->second.w;
}
std::vector<ScoredDoc> Graph::spread(const std::vector<int32_t>& seeds,
const std::vector<float>& seed_acts,
int max_depth,
float depth_decay,
float min_act,
const std::vector<int16_t>& query_types,
float alpha,
float beta) const {
std::vector<float> act(n_, 0.0f);
std::vector<int> depth(n_, -1);
const bool typed = !query_types.empty();
/* ๋๋น ์ฐ์ . ๊ฐ์ ๋
ธ๋์ ์ฌ๋ฌ ๊ฒฝ๋ก๋ก ๋๋ฌํ๋ฉด ๊ฐ์ฅ ๋์ ํ์ฑ์ ๋จ๊ธด๋ค. */
std::queue<int32_t> frontier;
for (size_t i = 0; i < seeds.size(); i++) {
const int32_t s = seeds[i];
if (s < 0 || s >= n_) continue;
const float a = (i < seed_acts.size()) ? seed_acts[i] : 1.0f;
if (a > act[s]) { act[s] = a; depth[s] = 0; frontier.push(s); }
}
while (!frontier.empty()) {
const int32_t u = frontier.front();
frontier.pop();
if (depth[u] >= max_depth) continue;
for (auto& [v, e] : adj_[u]) {
/* ์ ์ด ํธํ โ ๋ฌดํ์
(-1)์ ์ธ์ ๋ ํต๊ณผํ๋ค. ์ง์ ์ ์ด๊ฐ ์์ด๋ ํต๊ณผํ๋ค.
* ๊ทธ๋์ ๋ช
์ ์ธต์ ๋๋ฉด ์๋ ๊ณฑ์
์ด ์ ๋ถ 1.0์ด ๋์ด ์์ ์ฝ๋์ ๊ฐ์์ง๋ค. */
float f = 1.0f;
if (typed && e.type >= 0 &&
std::find(query_types.begin(), query_types.end(), e.type) == query_types.end())
f = alpha;
if (e.pol < 0) f *= beta;
const float cand = act[u] * e.w * f * depth_decay;
if (cand < min_act || cand <= act[v]) continue;
act[v] = cand;
depth[v] = depth[u] + 1;
frontier.push(v);
}
}
std::vector<ScoredDoc> out;
out.reserve(64);
for (int32_t i = 0; i < n_; i++)
if (act[i] > 0.0f) out.push_back({i, act[i]});
std::sort(out.begin(), out.end(),
[](const ScoredDoc& a, const ScoredDoc& b){ return a.score > b.score; });
return out;
}
namespace {
/* ๋น ์์ ํ ๊ฒฝ๋ก. ๊น์ด๊ฐ 3์ด๋ผ ๋
ธ๋๋ฅผ ๊ทธ๋๋ก ๋ค๊ณ ๋ค๋
๋ ์ธ๋ค.
* ๋ฐฉ๋ฌธ ๋
ธ๋๋ฅผ ๋ด๋ ์ด์ ๋ ์ํ์ ๋ง๊ธฐ ์ํด์๋ค โ ๊ฐ์ ๋ฌธ๋จ์ ๋ ๋ฒ ์ง๋๋ ๊ฒฝ๋ก๋
* ์ ์ ๋ณด๋ฅผ ์ฃผ์ง ์์ผ๋ฉด์ ํ๊ท ์ ์๋ง ์ฌ๋ฆฐ๋ค. */
struct Path {
int32_t last;
float sum; /* ๊ฒฝ๋ก ์ qsim ํฉ */
float worst; /* ๊ฒฝ๋ก ์ ์ต์ qsim */
float tail; /* ๋์ฐฉ ๋
ธ๋ qsim */
int len;
std::vector<int32_t> nodes;
float score(int mode) const {
if (mode == 1) return worst;
if (mode == 2) return tail;
return sum / static_cast<float>(len);
}
};
} // namespace
std::vector<ScoredDoc> Graph::beam_search(const std::vector<int32_t>& seeds,
const std::vector<float>& qsim,
int max_depth,
int beam_width,
float min_sim,
int score_mode) const {
std::vector<float> best(n_, -1.0f);
for (int32_t s : seeds) {
if (s < 0 || s >= n_ || s >= static_cast<int32_t>(qsim.size())) continue;
/* seed๋ง๋ค ๋
๋ฆฝ์ ์ผ๋ก ๋น์ ๊ตด๋ฆฐ๋ค. ์ฌ๊ธฐ์ ํฉ์น๋ฉด ํฌ์ seed๊ฐ ๋ฌด์๋ฏธํด์ง๋ค. */
std::vector<Path> beam;
beam.push_back({s, qsim[s], qsim[s], qsim[s], 1, {s}});
if (qsim[s] > best[s]) best[s] = qsim[s];
for (int d = 0; d < max_depth && !beam.empty(); d++) {
std::vector<Path> cand;
cand.reserve(beam.size() * 8);
for (const Path& p : beam) {
auto it = adj_.begin() + p.last;
for (const auto& [v, e] : *it) {
if (qsim[v] < min_sim) continue;
/* ์ํ ์ฐจ๋จ */
if (std::find(p.nodes.begin(), p.nodes.end(), v) != p.nodes.end())
continue;
Path q;
q.last = v;
q.sum = p.sum + qsim[v];
q.worst = std::min(p.worst, qsim[v]);
q.tail = qsim[v];
q.len = p.len + 1;
q.nodes = p.nodes;
q.nodes.push_back(v);
cand.push_back(std::move(q));
}
}
if (cand.empty()) break;
const size_t keep = std::min<size_t>(cand.size(),
std::max(1, beam_width));
std::partial_sort(cand.begin(), cand.begin() + keep, cand.end(),
[score_mode](const Path& a, const Path& b) {
return a.score(score_mode) > b.score(score_mode);
});
cand.resize(keep);
for (const Path& p : cand) {
const float sc = p.score(score_mode);
if (sc > best[p.last]) best[p.last] = sc;
}
beam.swap(cand);
}
}
std::vector<ScoredDoc> out;
out.reserve(64);
for (int32_t i = 0; i < n_; i++)
if (best[i] >= 0.0f) out.push_back({i, best[i]});
std::sort(out.begin(), out.end(),
[](const ScoredDoc& a, const ScoredDoc& b) { return a.score > b.score; });
return out;
}
void Graph::reinforce(const std::vector<int32_t>& coactive, float delta, float w_max) {
for (size_t i = 0; i < coactive.size(); i++) {
for (size_t j = i + 1; j < coactive.size(); j++) {
const int32_t a = coactive[i], b = coactive[j];
if (a < 0 || a >= n_ || b < 0 || b >= n_ || a == b) continue;
/* ์๋ฐฉํฅ์ผ๋ก ๊ฐํํ๋ค. ์ฐ์์ ๋ฐฉํฅ์ด ์๋ค. */
EdgeAttr& ab = adj_[a][b];
EdgeAttr& ba = adj_[b][a];
ab.w = std::min(w_max, ab.w + delta);
ba.w = std::min(w_max, ba.w + delta);
}
}
}
void Graph::decay(float lambda) {
const float f = 1.0f - lambda;
for (auto& m : adj_)
for (auto& [v, e] : m) e.w *= f;
}
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